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Proceedings Paper

New matching methods for dissimilar handwritten character images
Author(s): Xuefang Zhu; Yong Su; Shaodi Wang; C. Geoger
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Paper Abstract

New approaches to the problem of matching method for dissimilar handwritten character images are presented in this paper. One of them is for the offline recognition of dissimilar two-stroke digits which are difficult to discriminate. Several measures are taken to obtain proper division and description of the two strokes to further discrimination. In the recognition stage we combined syntactic analysis with statistical calculation. The other approach is for verifying offline handwritten Chinese signatures. Local connection properties are fully employed and the weighted distances are calculated on the whole signature image. Experiments results show that using the proposed matching methods increased the recognition rate and improved the reliability of our OCR system and is also helpful for verification of handwritten Chinese signatures.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323670
Show Author Affiliations
Xuefang Zhu, Nanjing Univ. of Posts and Telecommunications (China)
Yong Su, Nanjing Univ. of Posts and Telecommunications (China)
Shaodi Wang, Nanjing Univ. of Posts and Telecommunications (China)
C. Geoger, Univ. Paris XI (France)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)

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