New matching methods for dissimilar handwritten character images

Xuefang Zhu; Yong Su; Shaodi Wang; C. Geoger

doi:10.1117/12.323670

25 September 1998 New matching methods for dissimilar handwritten character images

Xuefang Zhu, Yong Su, Shaodi Wang, C. Geoger

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323670
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

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.

Citation Download Citation

Xuefang Zhu, Yong Su, Shaodi Wang, and C. Geoger "New matching methods for dissimilar handwritten character images", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323670

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