METHOD AND SYSTEM FOR STAMP IMAGE DETECTION AND VERIFICATION USING UNSUPERVISED FEATURE LEARNING TECHNIQUES

摘要

The present application provides a method and system for detection and verification of stamp images comprises receiving a training data comprising a plurality of stamp images, sampling, a plurality of square patches of same size from one or more of the plurality of stamp images, generating, a plurality of whitened patches by performing zero-phase component analysis (ZCA) whitening on the plurality of square patches, obtaining, a plurality of dictionary atoms by performing K-means clustering on the plurality of whitened patches, calculating, a response for each of the plurality of dictionary atoms and ranking the plurality of dictionary atoms based on the calculated responses, extracting at least one feature vector from a test image, using the ranked dictionary atoms, and detecting/ verifying, at least one stamp on the test image using the at least one feature vector.