Recognition of handwritten Chinese characters by critical region analysis

Authors:
K. C. Leung;C. H. Leung
Affiliations:
Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong;Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong
Venue:
Pattern Recognition
Year:
2010

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Abstract

The problem of recognizing offline handwritten Chinese characters has been investigated extensively. One difficulty is due to the existence of characters with very similar shapes. In this paper, we propose a ''critical region analysis'' technique which highlights the critical regions that distinguish one character from another similar character. The critical regions are identified automatically based on the output of the Fisher's discriminant. Additional features are extracted from these regions and contribute to the recognition process. By incorporating this technique into the character recognition system, a record high recognition rate of 99.53% on the ETL-9B database is obtained.