Applying a weighting matrix to the hierarchical neural network model for handwritten thai character recognition

Thammano, Arit; Poolsamran, Patcharawadee

doi:10.1109/CIMCA.2006.50

Applying a weighting matrix to the hierarchical neural network model for handwritten thai character recognition

Author(s)

Thammano, Arit

Poolsamran, Patcharawadee

Date Issued

January 1, 2006

Type

Conference Paper

DOI

10.1109/CIMCA.2006.50

Abstract

This paper proposes a new neural network approach to the off-line handwritten Thai character recognition. This new neural network is a hierarchical neural network; it employs the concept of a weighting matrix in measuring the similarity between the incoming input pattern and the reference patterns. The experiments have been conducted to recognize both slipshod and proper handwritten characters. The results demonstrate a very promising performance of the proposed approach. © 2006 IEEE.

Citation

Cimca 2006 International Conference on Computational Intelligence for Modelling Control and Automation Jointly with Iawtic 2006 International Conference on Intelligent Agents Web Technologies, 85-89, 2006