Paper
25 September 2003 Offline Chinese signature verification system with information fusion
Yuanyuan Ding, Qinghu Chen, Jinsheng Wang
Author Affiliations +
Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539890
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuanyuan Ding, Qinghu Chen, and Jinsheng Wang "Offline Chinese signature verification system with information fusion", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539890
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Information fusion

Data fusion

Feature extraction

Neural networks

Sensors

Environmental sensing

Classification systems

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