New Approach of Feature Extraction Method Based on the Raw Form and his Skeleton for Gujarati Handwritten Digits using Neural Networks Classifier

New Approach of Feature Extraction Method Based on the Raw Form and his Skeleton for Gujarati Handwritten Digits using Neural Networks Classifier

This paper presents an optical character recognition (OCR) system for Gujarati handwritten digits. One may find so much of work for latin writing, arabic, chines, etc. but Gujarati is a language for which hardly any work is traceable especially for handwritten characters. Here in this work we have p...

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Bibliographic Details
Main Authors: K. Moro, Mohammed Fakir, Belaid Bouikhalene, Rachid El Yachi, Bader Dinne El Kessab
Format: Article
Language:English
Published: Universitatea Dunarea de Jos 2014-12-01
Series:Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Subjects:
Optical character recognition
neural network
feature extraction
Gujarati handwritten digits
skeletonization
classification
Online Access:http://www.ann.ugal.ro/eeai/archives/2014/1%20NEW%20APPROACH%20OF%20FEATURE%20EXTRACTION%20METHOD.pdf

Internet

http://www.ann.ugal.ro/eeai/archives/2014/1%20NEW%20APPROACH%20OF%20FEATURE%20EXTRACTION%20METHOD.pdf

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