Aparajita Khan

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Script identification from handwritten document images is an open document analysis problem especially for multilingual environment like India. To design the Optical Character Recognition (OCR) system for multi-script document pages, it is essential to recognize different scripts prior to employing an OCR engine of a particular script. The present work(More)
This work proposes to authenticate offline signatures using a Case-Based Reasoner (CBR). The case base serves as a repository of sets of genuine signatures for which a central point on the n-dimensional global feature space is preserved along with the Inter-Quartile Range (IQR). These signatures are paired off to perform Dynamic Time Warping (DTW)(More)
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