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Proceedings Paper

Character recognition by algebraic invariant matrix
Author(s): Yong-Qing Cheng; Ren Jiang; Yong-Ge Wu; Ke Liu; Jingyu Yang
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Paper Abstract

This paper introduces a robust method which can be used to recognize English characters. In our method, we first present an Invariant Matrix (IM) corresponding to a unique character image under the polar system. This kind of matrix has many properties and it is insensitive to image translation, scaling rotation and noise. On the basis of invariant matrix, a set of similar discriminant functions (SDF) of English characters are established. Then, a feature extraction and recognition method based on the SDF functions is proposed. Feature vectors extracted by our method are reliable and have the maximum similarity for the same class of English character samples. Finally, according to our recognition model, we design a hierarchical classifier to recognize English characters. Experimental results show that the SDF function based on IM is an efficient criterion for feature extraction of English characters and our recognition model can obtain the recognition accuracies of 100 percent for all English characters.

Paper Details

Date Published: 1 October 1992
PDF: 8 pages
Proc. SPIE 1705, Visual Information Processing, (1 October 1992); doi: 10.1117/12.138449
Show Author Affiliations
Yong-Qing Cheng, East China Institute of Technology (China)
Ren Jiang, East China Institute of Technology (China)
Yong-Ge Wu, East China Institute of Technology (China)
Ke Liu, East China Institute of Technology (China)
Jingyu Yang, East China Institute of Technology (China)

Published in SPIE Proceedings Vol. 1705:
Visual Information Processing
Friedrich O. Huck; Richard D. Juday, Editor(s)

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