Apparatus And Methodology For Image Processing, Recognition, And Comparison Using A Combination Of Region Based And Contour Based Methods

Abstract

A system, apparatuses, and method are provided to determine to provide a system for determining shape similarity in images, image processing, recognition, and comparison using a combination of region based and contour based techniques. The system so described is particularly useful for determining similarity in device / logo type trademarks and designs. An image is uploaded the system and is programmatically scanned for artefacts and converted to binary. The system detects the image background, and converts it into a black on white type. The resulting image / binary is then padded and the image mass / binary centered and plots generated. From the plots generated, multiple attributes / descriptors / image properties are extracted. These attributes / image properties include weighted polygons, structural descriptors, Zernike moments, histograms of oriented gradients, Concave Hull and Fourier Descriptors. The extracted attributes are then merged to obtain specific image / trademark / device / design mark data which is then stored in an image attribute database. The stored data may be individual attributes / merged attributes for easier comparison and classification.17

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