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Proceedings Paper

Offline Chinese signature verification system with information fusion
Author(s): Yuanyuan Ding; Qinghu Chen; Jinsheng Wang
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Paper Abstract

At present, information fusion is widely used in object recognition and classfication, since this technique can efficiently improve the accuracy and the ability of fault tolerance. This paper presents a new method of information fusion system, which is used for offline Chinese signature verification. In the feature fusion process, different features are adopted to syncretize new features; in the report fusion process, the neural network is selected and used to adjust the weight. By comparing the experimental results of fault diagnoses based on fusion data with that on original separate data, it is shown that the former is more accurate than the latter.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539890
Show Author Affiliations
Yuanyuan Ding, Wuhan Univ. of Technology (China)
Qinghu Chen, Wuhan Univ. (China)
Jinsheng Wang, Institute of Forensic Science, Ministry of Public Security (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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