Computer Science ›› 2010, Vol. 37 ›› Issue (2): 221-224.

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Multiple Features Based Intelligent Biometrics Verification Model

SUN Ao-bing,ZHANG De-xian,ZHANG Miao   

  • Online:2018-12-01 Published:2018-12-01

Abstract: With the development of biometrics verification technology, related devices and implements arc put into market, which make it possible that the devices replace traditional means. But current single feature based verification devices depend on one single means and own very low cheat cost,which can not defense the specific cheat mode. We analyzed the intelliegent verification of human beings and brought forward one multiple features based verification model. It can capture several biometric features at same time and select several features for veification according to need. The multiple features based cross index means can improve the search efficiency of complicated features. The joint of historic data in the model enables the system focuses on the changed features and provoke the verification with high precision.

Key words: Biometric verification, Multiple features, Cheat cost

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