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Presentation 1: SEVERAL METHODS OF FEATURE EXTRACTION TO HELP IN OPTICAL CHARACTER RECOGNITION

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Published on Nov 16, 2016

Author's: Rajdeep Kundu, Bengal College of Engineering, Durgapur, W.B, India.
Binod Kumar Prasad, National Institute of Technology, Durgapur, W.B, India.
Email: binod.krpr@gmail.com
Abstract. An Optical Character Recognition (OCR) consists of three bold steps namely Preprocessing, Feature extraction, Classification. Methods of Feature extraction yield feature vectors based on which the classification of a testing pattern is executed. The current paper aims at proposing several novel methods of feature extraction that may go a long way to recognize a character. Pixel Ex-OR Method presents a digital gating (Ex-OR) technique to extract the information in an image. Alphabetical coding codes a binary character image by means of letters of English alphabet. Diretional features find gradient information to make position of stroke clear in an image. These features will help develop a Bengali numeral recognition system.

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