Title :
A complete OCR system for continuous Bengali characters
Author :
Mahmud, J.U. ; Raihan, Mohammed Feroz ; Rahman, Chowdhury Mofizur
Author_Institution :
Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka, Bangladesh
Abstract :
This paper is concerned with a complete optical character recognition (OCR) system for Bengali character. Recognition is done for both isolated and continuous printed multi font Bengali characters. Preprocessing steps includes segmentation in various levels, noise removal and scaling. Freeman chain code has been calculated from scaled character which is further processed to obtain a discriminating set of feature vectors for the recognizer. The unknown samples are classified using feed forward neural network based recognition scheme. It has been found from experimental results that success rate is approximately 98% for isolated characters and 96% for continuous character.
Keywords :
backpropagation; feature extraction; feedforward neural nets; image classification; image segmentation; optical character recognition; Freeman chain code; OCR system; back propagation; continuous Bengali characters; feature extraction; feature vectors; feed forward neural network; noise removal; optical character recognition; scaling; segmentation; Character recognition; Computer science; Feature extraction; Image recognition; Isolation technology; Neural networks; Noise level; Optical character recognition software; Optical noise; Paper technology;
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
DOI :
10.1109/TENCON.2003.1273141
