The main objective of this paper is to introduce a novel method of feature extraction for character data and develop a neural network system for recognising different Latin characters. In this paper we describe feature extraction, neural network development for character recognition and perform further neural network analysis on noisy image segments to explain the qualitative aspects of handwriting.
CITATION STYLE
Amin, A., & Singh, S. (1998). Optical character recognition: Neural network analysis of hand-printed characters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1451, pp. 492–499). Springer Verlag. https://doi.org/10.1007/bfb0033271
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