Abstract
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.
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Keywords
- Neural Network
- Recognition Rate
- Character Recognition
- Optical Character Recognition
- Neural Network System
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
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© 1998 Springer-Verlag Berlin Heidelberg
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Amin, A., Singh, S. (1998). Optical character recognition: Neural network analysis of hand-printed characters. In: Amin, A., Dori, D., Pudil, P., Freeman, H. (eds) Advances in Pattern Recognition. SSPR /SPR 1998. Lecture Notes in Computer Science, vol 1451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033271
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DOI: https://doi.org/10.1007/BFb0033271
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64858-1
Online ISBN: 978-3-540-68526-5
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