Palm Vein Verification Using Multiple Features and Locality Preserving Projections
Joint Authors
Al-juboori, Ali Mohsin
Bu, Wei
Wu, Xiangqian
Zhao, Qiushi
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Biometrics is defined as identifying people by their physiological characteristic, such as iris pattern, fingerprint, and face, or by some aspects of their behavior, such as voice, signature, and gesture.
Considerable attention has been drawn on these issues during the last several decades.
And many biometric systems for commercial applications have been successfully developed.
Recently, the vein pattern biometric becomes increasingly attractive for its uniqueness, stability, and noninvasiveness.
A vein pattern is the physical distribution structure of the blood vessels underneath a person’s skin.
The palm vein pattern is very ganglion and it shows a huge number of vessels.
The attitude of the palm vein vessels stays in the same location for the whole life and its pattern is definitely unique.
In our work, the matching filter method is proposed for the palm vein image enhancement.
New palm vein features extraction methods, global feature extracted based on wavelet coefficients and locality preserving projections (WLPP), and local feature based on local binary pattern variance and locality preserving projections (LBPV_LPP) have been proposed.
Finally, the nearest neighbour matching method has been proposed that verified the test palm vein images.
The experimental result shows that the EER to the proposed method is 0.1378%.
American Psychological Association (APA)
Al-juboori, Ali Mohsin& Bu, Wei& Wu, Xiangqian& Zhao, Qiushi. 2014. Palm Vein Verification Using Multiple Features and Locality Preserving Projections. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048882
Modern Language Association (MLA)
Al-juboori, Ali Mohsin…[et al.]. Palm Vein Verification Using Multiple Features and Locality Preserving Projections. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1048882
American Medical Association (AMA)
Al-juboori, Ali Mohsin& Bu, Wei& Wu, Xiangqian& Zhao, Qiushi. Palm Vein Verification Using Multiple Features and Locality Preserving Projections. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048882
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048882