Description: TECHNICAL FIELD
[0001] The present invention relates to the field of digital image capture, specifically addressing the challenges associated with capturing high-quality document images utilizing a single mobile computing device camera. More particularly, the invention pertains to a method and system for enhancing the clarity, focus, and overall quality of document images by employing a multi-focal image capture technique, tailored to various document types, thereby improving readability and data extraction accuracy.

BACKGROUND OF THE INVENTION
[0002] Background description includes information that may be useful in understanding the present invention. It is an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] In today's digital age, the proliferation of mobile devices equipped with high-resolution cameras has revolutionized the way of capturing and sharing information. Among the myriad applications of these cameras, document capture has emerged as a crucial function, facilitating the digitization of paper-based records for various purposes, including archiving, sharing, and data extraction. However, the conventional method of capturing document images using mobile cameras often results in suboptimal image quality, hindering readability and the accuracy of subsequent processing.
[0004] A significant challenge in conventional document capture lies in the uneven distribution of light across the document's surface. Due to ambient lighting conditions and the inherent limitations of mobile camera optics, certain areas of the document may appear excessively dark, while others are overexposed. This non-uniform illumination leads to variations in contrast and brightness, making it difficult to discern fine details and text, particularly in smaller fonts.
[0005] Furthermore, the lack of precise focusing in conventional capture methods contributes to image blurriness and reduced sharpness. This issue is particularly pronounced when capturing larger documents or those with complex textures. The resulting images often exhibit poor visual and print quality, rendering them unsuitable for applications that demand high fidelity, such as archival storage or professional printing.
[0006] In addition, the deficiencies in image quality directly impact the accuracy of Optical Character Recognition (OCR) and Intelligent Character Recognition (ICR) processes. These technologies rely on clear and well-defined characters to accurately extract textual information from images. When document images are marred by uneven lighting, blurriness, or low contrast, the performance of OCR and ICR engines suffers, leading to errors and reduced data extraction efficiency.
[0007] Moreover, the quality of monochrome images, often preferred for archival purposes due to their smaller file sizes and enhanced readability, is also compromised by the limitations of conventional capture methods. The lack of uniform illumination and focus results in monochrome images with poor contrast and reduced clarity, making it challenging to discern subtle details and text.
[0008] Readability problems, particularly concerning smaller fonts, pose a significant hurdle in conventional document capture. When text is blurred or obscured by uneven lighting, it becomes difficult to read, even with digital enhancement techniques. This issue is especially critical for documents containing legal or financial information, where accuracy and clarity are paramount.
[0009] Currently, there are no readily available technologies or products that effectively address these challenges. Existing solutions often rely on post-processing techniques, such as contrast adjustment and sharpening, which can only partially mitigate the inherent limitations of the captured images. These methods often introduce artifacts and distortions, further degrading image quality.
[0010] Therefore, there is a pressing need for an innovative approach to capture document that overcomes the limitations of conventional methods and delivers high-quality images suitable for a wide range of applications. There is need of an invention that seeks to address these challenges by introducing a novel multi-focal image capture technique which enhances the clarity, focus, and overall quality of document images.

OBJECTS OF THE INVENTION
[0011] It is a general or primary object of the present invention to develop a system or method that significantly improve the quality of document images captured using mobile devices, addressing the inherent limitations of conventional capture technologies and post processing techniques
[0012] It is another object of the present invention to develop a system or method that streamline and enhance the efficiency and accuracy of document digitization, making it more reliable and effective for various applications.
[0013] It is yet another object of the present invention to develop a system or method that increase the accuracy and reliability of data extraction from digitized documents through improved image quality, particularly for OCR and ICR processes.
[0014] It is further object of the present invention to develop a system or method that enhance the readability of digitized documents, particularly for small fonts, ensuring that information is easily accessible and comprehensible.
[0015] It is yet further object of the present invention to develop a practical and user-friendly system and method that can adapt to various document types and sizes, providing a versatile solution for document capture.
[0016] These and other objects of the present invention will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings.

SUMMARY OF THE INVENTION
[0017] In accordance with an embodiment, the present disclosure defines a system for capturing and processing high- quality document images, wherein said system comprises a mobile computing device (102A), including a processor (102P); and a memory (102M) operatively coupled to said processor (102P) , wherein the memory (102M) stores processor-executable instructions that, when executed by the processor (102P), cause the mobile computing device (102A) to providing a user interface, wherein said user interface includes a document selection panel configured to receive a selection of a document type from a plurality of predefined document types; establishing a capture area on the display, wherein the capture area's dimensions are responsive to the selected document type; determining a capture grid based on the selected document type, wherein the capture grid defines a plurality of sub-regions within the capture area, controlling a camera of the mobile computing device to sequentially capture a plurality of partial images of the document, wherein each captured partial image focusses on a corresponding sub-region of the capture grid; cropping each of said plurality of partial images, wherein each partial image corresponds to the respective sub-region; stitching the said set of cropped partial images, wherein stitched multiple cropped partial images generate a single, focused document image; and implementing the set of processor-executable instructions, which upon execution, cause the mobile computing device to save the single, focused document image to a default storage location on the mobile computing device.
[0018] In accordance with an aspect, the plurality of predefined document types includes A4/Legal documents, CR-80 documents, bank instruments, and other user-defined document types.
[0019] In accordance with an aspect, determination of the size of the capture grid includes setting of a number of rows (n) and a number of columns (m) based on the selected document type.
[0020] In accordance with an aspect, n and m of capture grid for A4/Legal documents, CR-80 documents, and bank instruments are defined as 3x3, 2x2, and 2x3, and for user-defined document types, the capture grid based on a resolution of a camera of the mobile computing device.
[0021] In accordance with an aspect, actuation of the camera comprises setting a focus of the camera to each sub-region of the capture grid prior to capturing the corresponding partial image.
[0022] In accordance with an aspect, cropping of each of the plurality of partial images includes extracting a portion of each captured partial image that corresponds to the respective sub-region.
[0023] In accordance with an aspect, stitching of the set of cropped partial images includes an image stitching firmware to merge the cropped partial images into a single, focused document image.
[0024] In accordance with an embodiment, the present disclosure defines a method for capturing and processing high quality document images via incorporating a mobile computing device, wherein said mobile computing device, upon execution of stored instructions, perform the steps of providing a user interface, wherein said user interface includes a document selection panel configured to receive a selection of a document type from a plurality of predefined document types; establishing a capture area on a display of the mobile computing device, wherein dimensions of the capture area are responsive to the selected document type; determining a capture grid based on the selected document type, wherein the capture grid defines a plurality of sub-regions within the capture area; controlling a camera of the mobile computing device to sequentially capture a plurality of partial images of a document, wherein each captured partial image focuses on a corresponding sub-region of the capture grid; cropping each of the plurality of partial images, wherein each cropped partial image corresponds to the respective sub-region; and stitching the set of cropped partial images, wherein stitched multiple cropped partial images generate a single, focused document image; and implementing the set of processor-executable instructions, which upon execution, cause the mobile computing device to save the single, focused document image to a default storage location on the mobile computing device.
[0025] In accordance with an aspect, the plurality of predefined document types includes A4/Legal documents, CR-80 documents, bank instruments, and other user-defined document types.
[0026] In accordance with an aspect, determination of the size of the capture grid includes setting of a number of rows (n) and a number of columns (m) based on the selected document type.
[0027] In accordance with an aspect, n and m of capture grid for A4/Legal documents, CR-80 documents, and bank instruments are defined as 3x3, 2x2, and 2x3, and for user-defined document types, the capture grid based on a resolution of a camera of the mobile computing device.
[0028] In accordance with an aspect, actuation of the camera comprises setting a focus of the camera to each sub-region of the capture grid prior to capturing the corresponding partial image.
[0029] In accordance with an aspect, cropping of each of the plurality of partial images includes extracting a portion of each captured partial image that corresponds to the respective sub-region.
[0030] In accordance with an aspect, stitching of the set of cropped partial images includes an image stitching firmware to merge the cropped partial images into a single, focused document image.
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[0031] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.

BRIEF DESCRIPTION OF THE DRAWINGS
[0032] The accompanying drawings are included to provide a further understanding of the present invention, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present invention and, together with the description, serve to explain the principles of the present invention.
[0033] FIG.1 illustrates a system adopting a process for capturing data employing a mobile computing device in accordance with an embodiment of the present invention.
[0034] FIG.2 depicts a flowchart outlining the sequential steps build upon the single mobile computing device architecture depicted in FIG.1 in accordance with an embodiment of the present invention.
[0035] FIG.3 defines the specific steps performed by the mobile computing device as depicted in FIG. 1, expanding upon the general process flow shown in FIG. 2 in accordance with an embodiment of the present invention
[0036] FIG. 4 visually represents the functionality of the system 100, which utilizes a multi-focus technique with a single mobile camera incorporated in the mobile computing device in accordance with an embodiment of the present invention.
[0037] FIG. 5 is a composite figure illustrating the results of experiments comparing a conventional image capture method with a proposed multi-focal image capture method, in accordance with an embodiment of the present invention.
DETAILED DESCRIPTION
[0038] The following is a detailed description of embodiments of the invention depicted in the accompanying drawings. The embodiments are in such details as to clearly communicate the invention. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present invention as defined by the appended claims.
[0039] If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0040] Exemplary embodiments will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments are shown. This invention may however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. These embodiments are provided so that this invention will be thorough and complete and will fully convey the scope of the invention to those of ordinary skill in the art. Moreover, all statements herein reciting embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future (i.e., any elements developed that perform the same function, regardless of structure).
[0041] Various terms as used herein. To the extent a term used in a claim is not defined below, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0042] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[0043] The recitation of ranges of values herein is merely intended to serve as a shorthand method of referring individually to each separate value falling within the range. Unless otherwise indicated herein, each individual value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g. “such as”) provided with respect to certain embodiments herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.
[0044] Groupings of alternative elements or embodiments of the invention disclosed herein are not to be construed as limitations. Each group member can be referred to and claimed individually or in any combination with other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all groups used in the appended claims.
[0045] Aspects of the present invention relates to the development of an advanced method and system for capturing high-quality document images with mobile cameras, using multi-focal techniques to enhance clarity, focus, and data extraction accuracy..
[0046] FIG.1 illustrates a system 100 adopting a process for capturing text data employing single mobile computing device at a particular instant of time in accordance with an embodiment of the present invention.
[0047] The initial setup includes a mobile computing device (102A1 with processor (102-P1) and Memory (102-M1). These mobile computing devices likely represent smartphones or tablets.
[0048] The capture and processing steps include
• Document Selection Panel: The user selects a document to be captured.
• Capture Area (Dynamic Size): The system defines a capture area, which can adjust its size based on the document.
• Capture Grid (Sub-regions): The capture area is divided into smaller sub-regions, forming a grid.
• Camera Control (Sequential Capture): The device's camera is controlled to sequentially capture partial images, focusing on each sub-region of the grid. This allows for capturing larger documents or detailed sections efficiently.
• Cropping: The captured images are cropped to isolate the relevant content.
• Stitching: The cropped images are stitched together to form a complete image of the document.
[0049] Saving: The set of processor-executable instructions is implemented, which upon execution, cause the mobile computing device to save the single, focused document image to a default storage location on the mobile computing device The key features include
• Optimization: The diagram indicates that the single computing device can optimize its internal resources to distribute processing tasks, potentially leading to faster performance.
• Dynamic Capture Area: The ability to adjust the capture area allows for flexibility in capturing documents of various sizes.
• Sequential Capture and Stitching: This technique enables the capture of large documents or detailed sections by breaking them down into smaller, manageable parts.
[0050] Overall, this diagram outlines a system for efficiently capturing and processing text data from documents using mobile computing device, leveraging features like dynamic capture areas, sequential capture, and distributed processing.
[0051] FIG.2 outlines the sequential steps (200) build upon the mobile computing device architecture depicted in FIG. 1, utilized for capturing and processing text data from various documents including A4/Legal documents, CR-80 documents, bank instruments, and other user-defined document types. The process initiates (202) when the mobile computing device with a user interface (204) capture multiple area of the selected document. After defining the capture area (206), the creation of a capture grid (208) is followed that divides the area into sub-regions. After that, the camera control (210) enables the sequential capture of images focused on these sub-regions. Subsequently, the captured images undergo cropping (212) and stitching (214) to form a complete document image and implementing the set of processor-executable instructions, which upon execution, cause the mobile computing device to save the single, focused document image to a default storage location on the mobile computing device.. This sequential flow, as illustrated in the diagram, details the image processing stages that follow the capture phase facilitated by the mobile computing device outlined in FIG. 1.
[0052] FIG. 3 details the specific steps performed by the mobile computing device as depicted in FIG.1, expanding upon the general process flow shown in FIG.2 in accordance with an embodiment of the present invention. It begins with providing a user interface (302), specifically a document selection panel, where users choose from predefined document types. This selection directly influences the establishment of a capture area (304), dynamically adjusting its dimensions based on the chosen document type. Next, a capture grid (306) is determined, creating sub-regions within the capture area, again tailored to the selected document type. The camera is then controlled (308) to sequentially capture partial images, each focusing on a sub-region of the grid. These partial images are then cropped (310) to isolate the relevant content within each sub-region. The cropped images are stitched together (312) to form a complete, focused document image. Finally, processor-executable instructions are implemented (314), causing the mobile computing device to save the single, focused document image to a default storage location on the mobile computing device. Therefore, FIG. 3 provides a detailed, step-by-step breakdown of the capture, and processing, performed by the mobile computing device outlined in FIG. 1, following the overarching process illustrated in FIG. 2.
[0053] FIG. 4 visually represents the functionality of the system 100, which utilizes a multi-focus technique with a single mobile camera incorporated in the mobile computing device in accordance with an embodiment of the present invention.
[0054] FIG. 4A showcases the system's ability to:
• Capture a large document: The left side presents a full-page document capture, potentially including a form or a larger sheet of paper.
• Isolate a specific document: The right side shows the extraction of a driver's license from the larger document, demonstrating the app's capability to identify and isolate specific document types.
• Present extracted data: The driver's license image displays key information like the ID number, name, and dates, highlighting the app's data extraction abilities.
[0055] FIG. 4B illustrates the system's capture mechanism:
• Capture grid: The outlined rectangles represent a capture grid, where the capture area is divided into multiple sub-regions.
• Sequential capture: The varied angles and positions of the rectangles suggest that the camera captures partial images of each sub-region sequentially.
• Multi-focus technique: This sequential capture with sub-regions implies a multi-focus technique, ensuring that all parts of the document are captured with adequate clarity.
[0056] FIG.4C directly correlates with the "Draw Document Capture Area" and "mechanism to set n, m values" sections of the description. The left image shows the initial capture of a larger document, like an A4/Legal document (n=3, m=3), with a red outline indicating the drawn capture area. The right image shows the extracted CR-80 document (n=2, m=2), a driver's license in this case, demonstrating the app's ability to isolate specific document types. This aligns with the "Document Selection Panel" where users choose between A4/Legal, CR-80, Bank Instruments, or Others.
[0057] FIG.4D illustrates the "Steps 4 and 5" of the system's mechanism. The outlined rectangles represent the virtual division of the capture area into n*m parts. The slight variations in their orientation suggest the sequential capture of focused sub-regions. This visually confirms the system's process of capturing individual parts, as described in steps 6-10, based on the selected document type (A4/Legal, Card Type, etc.).
[0058] FIG. 4 in all demonstrates the application's ability to:
• Dynamically adjust the capture grid based on document type.
• Capture focused sub-images sequentially.
• Stitch these sub-images into a single, focused final image.
[0059] FIG. 5 is a composite figure illustrating the results of experiments comparing a conventional image capture method with a proposed multi-focal image capture method, in accordance with an embodiment of the present invention.
[0060] In this case, a set of three experiments were conducted to evaluate the efficacy of the proposed multi-focus image capture method against a conventional method. These experiments assessed image quality using BRISQUE scoring, monochrome image clarity through visual comparison, and Optical Character Recognition (OCR) accuracy, consistently demonstrating the superiority of the multi-focus method in accordance with an embodiment of the present invention.
[0061] Image Quality Assessment - Experiment 1 evaluated the image quality resulting from both a conventional image capture method and the proposed multi-focus technique. The same document was captured using each method, and the resulting images were assessed using a deep learning-based quality metric called BRISQUE (Blind/Reference less Image Spatial Quality Evaluator). BRISQUE scores as mentioned in table define in FIG.5A were recorded for three different images captured by each method. The results, as shown in the table, indicate that the multi-focal image consistently achieved a lower BRISQUE score than the default image. It is important to note that a lower BRISQUE score signifies better image quality.
[0062] Monochrome Image Clarity- Experiment 2 focused on comparing the clarity of monochrome images depicted in FIG.5B generated from captures by both methods. The same document was captured using the conventional and the proposed multi-focus methods. Both captured images were then converted into black and white images using the same algorithm. Upon visual inspection, the black and white image derived from the proposed multi-focal capture method was determined to be clearer than the one produced from the conventional capture.
[0063] OCR Accuracy - Experiment 3 investigated the accuracy of Optical Character Recognition (OCR) performed on images captured by both methods as depicted in Fig.5B. The same document was captured using both the conventional and the proposed methods. Subsequently, OCR was performed on both images using the same OCR engine. The results demonstrated that the character-level accuracy of the image captured through the proposed multi-focus method was superior to the accuracy achieved with the image captured through the conventional method.
[0064] In summary, the figures provide the visual and procedural definition of the multi-focus image capturing method, while the experiments offer empirical validation of its effectiveness in terms of image quality, monochrome image clarity, and OCR accuracy.
TECHNICAL ADVANTAGES
• Improved Image Quality: The proposed multi-focus technique enhances image quality, as evidenced by lower BRISQUE scores.
• Enhanced Clarity: Monochrome images derived from the multi-focus method exhibit superior clarity.
• Increased OCR Accuracy: The multi-focus method boosts Optical Character Recognition accuracy at the character level.
• Dynamic Adaptability: The system dynamically adjusts the capture area to accommodate different document types.
• Versatile Document Handling: The system efficiently captures and processes a variety of document types through user selection.
• Optimized Capture Grids: The system employs adjustable capture grids tailored to specific document formats.
• Focused Image Acquisition: Sequential capture and stitching ensure focused images, leading to better processing outcomes.
[0065] It should be apparent to those skilled in the art that many more modifications besides those already described are possible without departing from the inventive concepts herein. The inventive subject matter, therefore, is not to be restricted except in the spirit of the appended claims. Moreover, in interpreting both the specification and the claims, all terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms “comprises” and “comprising” should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, components, or steps that are not expressly referenced. Where the specification claims refers to at least one of something selected from the group consisting of A, B, C ….and N, the text should be interpreted as requiring only one element from the group, not A plus N, or B plus N, etc.
[0066] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the appended claims.
[0067] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
, Claims:1. A system (100) for capturing and processing high- quality document images, wherein said system comprises
a mobile computing device (102A), including a processor (102P); and a memory (102M) operatively coupled to said processor (102P) , wherein the memory (102M) stores processor-executable instructions that, when executed by the processor (102P), cause the mobile computing device (102A) to:
providing a user interface, wherein said user interface includes a document selection panel configured to receive a selection of a document type from a plurality of predefined document types;
establishing a capture area on the display, wherein the capture area's dimensions are responsive to the selected document type;
determining a capture grid based on the selected document type, wherein the capture grid defines a plurality of sub-regions within the capture area,
controlling a camera of the mobile computing device (102A1) to sequentially capture a plurality of partial images of the document, wherein each captured partial image captured focusses on a corresponding sub-region of the capture grid;
cropping each of said plurality of partial images, wherein each partial image corresponds to the respective sub-region;
stitching the said set of cropped partial images, wherein stitched multiple cropped partial images generate a single, focused document image; and
implementing the set of processor-executable instructions, which upon execution, cause the mobile computing device to save the single, focused document image to a default storage location on the mobile computing device
2. The system (100) as claimed in claim 1, wherein the plurality of predefined document types includes A4/Legal documents, CR-80 documents, bank instruments, and other user-defined document types.
3. The system (100) as claimed in claim 1, wherein determination of the size of the capture grid includes setting of a number of rows (n) and a number of columns (m) based on the selected document type.
4. The system (100) as claimed in claim 3, wherein n and m of capture grid for A4/Legal documents, CR-80 documents, and bank instruments are defined as 3x3, 2x2, and 2x3, and for user-defined document types, the capture grid based on a resolution of a camera of the mobile computing device.
5. The system (100) as claimed in claim 1, wherein actuation of the camera comprises setting a focus of the camera to each sub-region of the capture grid prior to capturing the corresponding partial image.
6. The system (100) as claimed in claim 1, wherein cropping of each of the plurality of partial images includes extracting a portion of each captured partial image that corresponds to the respective sub-region.
7. The system (100) as claimed in claim 1, wherein stitching of the set of cropped partial images includes an image stitching firmware to merge the cropped partial images into a single, focused document image.
8. A method (300) for capturing and processing high quality document images via incorporating a mobile computing device, wherein said mobile computing device, upon execution of stored instructions, perform the steps of
providing a user interface, wherein said user interface includes a document selection panel configured to receive a selection of a document type from a plurality of predefined document types;
establishing a capture area on a display of the mobile computing device (102A) , wherein dimensions of the capture area are responsive to the selected document type;
determining a capture grid based on the selected document type, wherein the capture grid defines a plurality of sub-regions within the capture area;
controlling a camera of the mobile computing device (102A) to sequentially capture a plurality of partial images of a document, wherein each captured partial image focuses on a corresponding sub-region of the capture grid;
cropping each of the plurality of partial images, wherein each cropped partial image corresponds to the respective sub-region;
stitching the set of cropped partial images, wherein stitched multiple cropped partial images generate a single, focused document image;and
implementing the set of processor-executable instructions, which upon execution, cause the mobile computing device to save the single, focused document image to a default storage location on the mobile
computing device.

9. The method (300) as claimed in claim 8, wherein the plurality of predefined document types includes A4/Legal documents, CR-80 documents, bank instruments, and other user-defined document types.
10. The method (300) as claimed in claim 8, wherein determination of the size of the capture grid includes setting of a number of rows (n) and a number of columns (m) based on the selected document type.
11. The method (300) as claimed in claim 10, wherein n and m of capture grid for A4/Legal documents, CR-80 documents, and bank instruments are defined as 2x2, 2x3, and 3x3, and for user-defined document types, the capture grid based on a resolution of a camera of the mobile computing device.
12. The method (300) as claimed in claim 8, wherein actuation of the camera comprises setting a focus of the camera to each sub-region of the capture grid prior to capturing the corresponding partial image.
13. The method (300) as claimed in claim 8, wherein cropping of each of the plurality of partial images includes extracting a portion of each captured partial image that corresponds to the respective sub-region.
14. The method (300) as claimed in claim 8, wherein stitching of the set of cropped partial images includes an image stitching firmware to merge the cropped partial images into a single, focused document image.