Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75292
Title: Palm vein extraction and matching for personal authentication
Authors: Zhang, YB
Li, Q 
You, J 
Bhattacharya, P
Keywords: Infrared palm images
Liveness detection
Multiscale filtering
Palm vein
Personal identification
Issue Date: 2007
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2007, v. 4781 LNCS, p. 154-164 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: In this paper, we propose a scheme of personal authentication using palm vein. The infrared palm images which contain the palm vein information are used for our system. Because the vein information represents the liveness of a human, this system can provide personal authentication and liveness detection concurrently. The proposed system include: 1) Infrared palm images capture; 2) Detection of Region of Interest; 3) Palm vein extraction by multiscale filtering; 4) Matching. The experimental results demonstrate that the recognition rate using palm vein is good.
Description: 9th International Conference on Visual Information Systems, VISUAL 2007, Shanghai, 28-29 June 2007
URI: http://hdl.handle.net/10397/75292
ISBN: 9783540764137
ISSN: 0302-9743
EISSN: 1611-3349
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

83
Citations as of May 9, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.