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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
ISBN: 978-0-7695-3490-9
pp: 395-399
ABSTRACT
The basic principle of online Chinese signature identification is to compare one's signature characteristic value with those in the appointed pattern library’s so that the signature to be identified is classified as either authentic or forged. In order to form a stable and effective pattern library, a new method is proposed based on the fact that the Fisher distinction criterion function is a generalized Rayleigh quotient in essence. The extremum properties of generalized Rayleigh quotient are analyzed and a new method of forming pattern library is given based on dynamic studying system, which can be dynamically adapted in runtime to model the variation of signature, and then a proper classifier is developed which can be more effective and robust than the traditional Euclid Distance. The simulation results also show that this method has better stability and reliability.
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CITATION
Yongjian Zhao, Hongrun Wang, "Chinese Signature Identification Based on Dynamic Studying System", Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE, vol. 01, no. , pp. 395-399, 2008, doi:10.1109/PACIIA.2008.74
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