Optical character recognition: Neural network analysis of hand-printed characters

  • Adnan Amin
  • Sameer Singh
Poster Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1451)

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.

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Adnan Amin
    • 1
  • Sameer Singh
    • 2
  1. 1.School of Computer Science and EngineeringUniversity of New South WalesSydneyAustralia
  2. 2.School of ComputingUniversity of PlymouthPlymouthUK

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