A STUDY ON NORMALIZATION AND FEATURE EXTRACTION TECHNIQUES FOR THE RECOGNITION OF ISOLATED KANNADA HANDWRITTEN NUMERALS

Patil , Surekha and Patil, Meenakshi (2007) A STUDY ON NORMALIZATION AND FEATURE EXTRACTION TECHNIQUES FOR THE RECOGNITION OF ISOLATED KANNADA HANDWRITTEN NUMERALS. In: 2nd International Conference on Informatics (Informatics 2007), Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia.

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Official URL: http://dspace.fsktm.um.edu.my/handle/1812/353

Abstract

The evaluation of various techniques is important to select the correct options in developing character recognition system. Normalization is an important preprocessing technique for character recognition and feature extraction is the core of OCR. In this paper we conduct experiments for different normalization functions and different feature extraction strategies. It is hoped that this study improves the performance of character recognition system and will find wider use to the researchers.

Item Type: Conference or Workshop Item (Paper)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: MS SITI NUR ATIKAH MOHAMAD RUSDI
Date Deposited: 16 Jul 2013 02:30
Last Modified: 16 Jul 2013 02:30
URI: http://repository.um.edu.my/id/eprint/419

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