Abstract: Embodiments of the present disclosure disclose a method for performing Optical Character Recognition (OCR) of an article. The method comprises acquiring an image of the article. The image of the article is scanned using predetermined scan settings. Then, textual regions of the scanned image of the article are identified. The OCR of the at least one of the textual regions is performed using predetermined OCR settings. One or more textual regions of the textual regions are marked upon determining an error in performing the OCR of the one or more textual regions. The OCR of the one or more textual regions is iterated as per one or more predefined OCR scanning parameters based on an OCR quality of the one or more textual regions upon marking the one or more textual regions. FIGURE 3
CLIAMS:We claim:
1. A method for performing Optical Character Recognition (OCR) of an article, the method comprising:
acquiring, by an image processing apparatus, an image of the article;
scanning, by the image processing apparatus, the image of the article using predetermined scan settings;
identifying, by the image processing apparatus, textual regions of the scanned image of the article;
performing, by the image processing apparatus, the OCR of the textual regions using predetermined OCR settings;
marking, by the image processing apparatus, one or more textual regions of the textual regions upon determining an error in performing the OCR of the one or more textual regions; and
iterating, by the image processing apparatus, the OCR of the one or more textual regions as per one or more predefined OCR scanning parameters based on an OCR quality of the one or more textual regions upon marking the one or more textual regions.
2. The method as claimed in claim 1, wherein identifying the textual regions is performed upon segregating the scanned image of the article into the textual regions and image regions.
3. The method as claimed in claim 2 further comprising marking by the image processing apparatus, at least one of the textual regions and the image regions upon segregation.
4. The method as claimed in claim 3, wherein marking the at least one of the textual regions and the image regions is performed based on a scan quality of the scanned image of the article.
5. The method as claimed in claim 4 further comprising displaying by the image processing apparatus, at least one of the marked textual regions and the marked image regions on a display unit associated to the image processing apparatus.
6. The method as claimed in claim 1, wherein the one or more predefined OCR scanning parameters comprise at least one of predefined number of iterations of the OCR and an amount of the OCR of the one or more textual regions.
7. The method as claimed in claim 6 further comprising indicating by the image processing apparatus, at least one of the predefined number of iterations of the OCR and the amount of the OCR of the one or more textual regions on the display unit while iterating the OCR.
8. The method as claimed in claim 6 further comprising modifying by the image processing apparatus, the predetermined OCR settings for performing the OCR of the one or more textual regions using a predetermined resolution quality of the one or more textual regions.
9. An image processing apparatus for performing Optical Character Recognition (OCR) of an article comprising:
a processor;
a memory communicatively coupled to the processor, wherein the memory stores processor-executable instructions, which, on execution, cause the processor to:
acquire an image of the article;
scan the image of the article using predetermined scan settings;
identify textual regions of the scanned image of the article;
perform the OCR of the textual regions using predetermined OCR settings;
mark one or more textual regions of the textual regions upon determining an error in performing the OCR of the one or more textual regions; and
iterate the OCR of the one or more textual regions as per one or more predefined OCR scanning parameters based on an OCR quality of the one or more textual regions upon marking the one or more textual regions.
10. The image processing apparatus as claimed in claim 9 is communicatively connected to one or more computing devices, wherein the article is acquired from the one or more computing devices.
11. The image processing apparatus as claimed in claim 9, wherein the processor is configured to identify the textual regions upon segregating the scanned image of the article into the textual regions and image regions.
12. The image processing apparatus as claimed in claim 11, wherein the processor is further configured to mark at least one of the textual regions and the image regions upon segregation.
13. The image processing apparatus as claimed in claim 12, wherein the processor is configured to mark the at least one of the textual regions and the image regions based on a scan quality of the scanned image of the article.
14. The image processing apparatus as claimed in claim 13 is associated to a display unit configured to display at least one of the marked textual regions and the marked image regions on the display unit.
15. The image processing apparatus as claimed in claim 9, wherein the one or more predefined OCR scanning parameters comprise at least one of predefined number of iterations of the OCR and an amount of the OCR of the one or more textual regions.
16. The image processing apparatus as claimed in claim 15, wherein the processor is further configured to indicate at least one of the predefined number of iterations of the OCR and the amount of the OCR of the one or more textual regions on the display unit while iterating the OCR.
17. The image processing apparatus as claimed in claim 15, wherein the processor is further configured to modify the predetermined OCR settings for performing the OCR of the one or more textual regions using a predetermined resolution quality of the one or more textual regions.
18. A non-transitory computer readable medium including instructions stored thereon that when processed by a processor cause an image processing apparatus to perform acts of:
acquiring an image of the article;
scanning the image of the article using predetermined scan settings;
identifying textual regions of the scanned image of the article;
performing the OCR of the textual regions using predetermined OCR settings;
marking one or more textual regions of the textual regions upon determining an error in performing the OCR of the one or more textual regions; and
iterating the OCR of the one or more textual regions as per one or more predefined OCR scanning parameters based on an OCR quality of the one or more textual regions upon marking the one or more textual regions.
Dated this 5th day of March 2015
SHWETHA A CHIMALGI
OF K & S PARTNERS
AGENT FOR THE APPLICANT
,TagSPECI:TECHNICAL FIELD
The present subject matter is related, in general to Optical Character Recognition (OCR) and more particularly, but not exclusively to a method and an image processing apparatus for performing OCR of an article.
| # | Name | Date |
|---|---|---|
| 1 | 1070-CHE-2015 FORM-9 05-03-2015.pdf | 2015-03-05 |
| 2 | 1070-CHE-2015 FORM-18 05-03-2015.pdf | 2015-03-05 |
| 3 | IP30030-spec.pdf ONLINE | 2015-03-09 |
| 4 | IP30030-fig.pdf ONLINE | 2015-03-09 |
| 5 | FORM 5-IP30030.pdf ONLINE | 2015-03-09 |
| 6 | FORM 3-IP30030.pdf ONLINE | 2015-03-09 |
| 7 | IP30030-spec.pdf | 2015-03-13 |
| 8 | IP30030-fig.pdf | 2015-03-13 |
| 9 | FORM 5-IP30030.pdf | 2015-03-13 |
| 10 | FORM 3-IP30030.pdf | 2015-03-13 |
| 11 | abstract 1070-CHE-2015.jpg | 2015-03-16 |
| 12 | 1070CHE2015_Certifiedcopyrequest.pdf | 2015-03-20 |
| 13 | 1070-CHE-2015 POWER OF ATTORNEY 26-06-2015.pdf | 2015-06-26 |
| 14 | 1070-CHE-2015 FORM-1 26-06-2015.pdf | 2015-06-26 |
| 15 | 1070-CHE-2015 CORRESPONDENCE OTHERS 26-06-2015.pdf | 2015-06-26 |
| 16 | 1070-CHE-2015-FER.pdf | 2019-11-22 |
| 17 | 1070-CHE-2015-PETITION UNDER RULE 137 [22-05-2020(online)].pdf | 2020-05-22 |
| 18 | 1070-CHE-2015-Information under section 8(2) [22-05-2020(online)].pdf | 2020-05-22 |
| 19 | 1070-CHE-2015-FORM 3 [22-05-2020(online)].pdf | 2020-05-22 |
| 20 | 1070-CHE-2015-FER_SER_REPLY [22-05-2020(online)].pdf | 2020-05-22 |
| 21 | 1070-CHE-2015-US(14)-HearingNotice-(HearingDate-22-08-2023).pdf | 2023-08-01 |
| 22 | 1070-CHE-2015-POA [07-08-2023(online)].pdf | 2023-08-07 |
| 23 | 1070-CHE-2015-FORM 13 [07-08-2023(online)].pdf | 2023-08-07 |
| 24 | 1070-CHE-2015-Correspondence to notify the Controller [07-08-2023(online)].pdf | 2023-08-07 |
| 25 | 1070-CHE-2015-AMENDED DOCUMENTS [07-08-2023(online)].pdf | 2023-08-07 |
| 26 | 1070-CHE-2015-Written submissions and relevant documents [06-09-2023(online)].pdf | 2023-09-06 |
| 27 | 1070-CHE-2015-FORM-26 [06-09-2023(online)].pdf | 2023-09-06 |
| 28 | 1070-CHE-2015-PatentCertificate29-09-2023.pdf | 2023-09-29 |
| 29 | 1070-CHE-2015-IntimationOfGrant29-09-2023.pdf | 2023-09-29 |
| 1 | Search23_18-11-2019.pdf |