Optical character recognition: Neural network analysis of hand-printed characters
Identifieur interne : 002328 ( Main/Merge ); précédent : 002327; suivant : 002329Optical character recognition: Neural network analysis of hand-printed characters
Auteurs : Adnan Amin [Australie] ; Sameer Singh [Royaume-Uni]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1998.
Abstract
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.
Url:
DOI: 10.1007/BFb0033271
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<front><div type="abstract" xml:lang="en">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.</div>
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