DocumentCode :
3379476
Title :
Soft biometric verification by integrating static and dynamic features based on fuzzy inference
Author :
Manabe, Yusuke ; Sugawara, Kenji
Author_Institution :
Dept. of Inf. & Network Sci., Chiba Inst. of Technol., Narashino, Japan
fYear :
2013
fDate :
16-18 July 2013
Firstpage :
242
Lastpage :
247
Abstract :
This paper proposes a simple multimodal soft biometic verification method based on fuzzy inference. This study is a part of the challenge to develop an novel natural verification technology that a user doesn´t need to hold his/her biometric features to an authentication device. We employ both of static and dynamic features obtained from an appearance of a person in gait. As the result of verification experiment, we show that our developed method works successfully in spite of simple approach and an easy-to-use device.
Keywords :
biometrics (access control); feature extraction; fuzzy reasoning; authentication device; dynamic biometric features; fuzzy inference; natural verification technology; person appearance; soft biometric verification; static biometric features; Authentication; Feature extraction; Fuzzy logic; Image color analysis; Joints; Time series analysis; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4799-0781-6
Type :
conf
DOI :
10.1109/ICCI-CC.2013.6622250
Filename :
6622250
Link To Document :
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