A structural and relational approach to handwritten word recognition

被引:21
作者
Buse, R [1 ]
Liu, ZQ [1 ]
Caelli, T [1 ]
机构
[1] CURTIN UNIV TECHNOL,DEPT COMP SCI,PERTH,WA 6001,AUSTRALIA
来源
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 1997年 / 27卷 / 05期
基金
澳大利亚研究理事会;
关键词
D O I
10.1109/3477.623237
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present a new off-line word recognition system that is able to recognize unconstrained handwritten words using grey-scale images. This is based on structural and relational information in the handwritten word. We use Gabor filters to extract features from the words, and then use an evidence-based approach for word classification. A solution to the Gabor filter parameter estimation problem is given, enabling the Gabor filter to be automatically tuned to the word image properties. We also developed two new methods for correcting the slope of the handwritten words. Our experiments show that the proposed method achieves good recognition rates compared to standard classification methods.
引用
收藏
页码:847 / 861
页数:15
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