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A Method of Chinese Fax Recipient’s Name Recognition Based on Hybrid Neural Networks

  • Zhou-Jing Wang
  • Kai-Biao Lin
  • Wen-Lei Sun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)

Abstract

A professional Chinese fax information processing system is designed which has functions to automate incoming fax distribution in a company or institution, read an incoming fax cover sheet and route the fax to the receiver’s email box. This paper reports our research as part of an effort to realize such a system and focuses on recognition of the handwritten recipient’s on fax cover pages. We propose hybrid neural networks for large scale Chinese handwritten character recognition. The network is composed of the self-organizing competitive fuzzy layer and the multi-layer neural network using BP method, connected in cascade. The characteristic features of this network structure for Chinese handwritten character recognition are discussed and performances are evaluated on 8208 real world faxes which are taken from one company in 2004, the results of experiments compared to standard neural solutions based on MLP show that the whole system is of reasonable structure and satisfactory performance.

Keywords

Chinese Character Recognition Module Subtractive Cluster Handwritten Character Hybrid Neural Network 
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 2006

Authors and Affiliations

  • Zhou-Jing Wang
    • 1
  • Kai-Biao Lin
    • 1
  • Wen-Lei Sun
    • 1
  1. 1.Dept. of AutomationXiamen UniversityXiamenChina

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