Title :
Chinese Signature Identification Based on Dynamic Studying System
Author :
Zhao, Yongjian ; Wang, Hongrun
Author_Institution :
Inf. Eng. Inst., Shandong Univ. at Weihai, Weihai
Abstract :
The basic principle of online Chinese signature identification is to compare one´s signature characteristic value with those in the appointed pattern librarypsilas 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.
Keywords :
handwriting recognition; message authentication; pattern classification; Chinese signature identification; Fisher distinction criterion function; dynamic studying system; generalized Rayleigh quotient; pattern library; Computational intelligence; Computational modeling; Computer industry; Conferences; Electronics industry; Industrial electronics; Libraries; Multidimensional systems; National security; Object recognition;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.74