NDLI: Combining Left and Right Palmprint Images for More Accurate Personal Identification

Content Provider	IEEE Xplore Digital Library
Author	Yong Xu Lunke Fei Zhang, D.
Copyright Year	1992
Abstract	Multibiometrics can provide higher identification accuracy than single biometrics, so it is more suitable for some real-world personal identification applications that need high-standard security. Among various biometrics technologies, palmprint identification has received much attention because of its good performance. Combining the left and right palmprint images to perform multibiometrics is easy to implement and can obtain better results. However, previous studies did not explore this issue in depth. In this paper, we proposed a novel framework to perform multibiometrics by comprehensively combining the left and right palmprint images. This framework integrated three kinds of scores generated from the left and right palmprint images to perform matching score-level fusion. The first two kinds of scores were, respectively, generated from the left and right palmprint images and can be obtained by any palmprint identification method, whereas the third kind of score was obtained using a specialized algorithm proposed in this paper. As the proposed algorithm carefully takes the nature of the left and right palmprint images into account, it can properly exploit the similarity of the left and right palmprints of the same subject. Moreover, the proposed weighted fusion scheme allowed perfect identification performance to be obtained in comparison with previous palmprint identification methods.
Sponsorship	IEEE Signal Processing Society
Page Count	11
File Size	2607904
Starting Page	549
Ending Page	559
File Format	PDF
ISSN	10577149
Volume Number	24
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics (access control) Training Feature extraction Gabor filters Accuracy Encoding Principal component analysis multi-biometrics Palmprint recognition biometrics
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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