DocumentCode
3175130
Title
The research of double-biometric identification technology based on finger geometry & palm print
Author
Zhai, Lang ; Hu, Qi
Author_Institution
Inf. Eng. Dept., Jilin Bus. & Technol. Coll., Changchun, China
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
3530
Lastpage
3533
Abstract
Common system of single biometric identification is based on single technology, such as fingerprints identification, face identification and iris identification. They have unicity and limitations. So multi-biometric identification technology is valued extensively and becomes the focus of studies. This article, which bases on the features of singular creasure, puts forward multi-biometric identification technology based on finger shape and palm print. It employs different methods of feature collection in view of different areas and designs a hierarchical matcher from coarse to fine so that a multi-biometric identification system is realized with high recognition accuracy and good extendibility. The experimental results demonstrate that this multi-biometric identification technology has not only greatly increased the efficiency of identifying but also ensured the accuracy and security of identification.
Keywords
biometrics (access control); computational geometry; feature extraction; double-biometric identification technology; feature collection; finger geometry; finger shape; multibiometric identification technology; palm print; singular creasure; Accuracy; Face; Feature extraction; Fingerprint recognition; Fingers; Gabor filters; Geometry; Biometric Identification; Multi-biometric Identification; finger geometry; palm print;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location
Deng Leng
Print_ISBN
978-1-4577-0535-9
Type
conf
DOI
10.1109/AIMSEC.2011.6010656
Filename
6010656
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