Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19922
Title: Three dimensional palmprint recognition
Authors: Li, W
Zhang, L 
Zhang, D 
Keywords: 3D palmprint identification
Biometrics
Feature coding
Mean curvature
Issue Date: 2009
Source: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2009, p. 4847-4852 How to cite?
Abstract: Palmprint has been widely studied as its high accuracy and low cost. Most of the previous studies are based on two dimensional (2D) image of the palmprint. However, 2D image can be easily forged, which will threaten the security of palmprint authentication system. Furthermore, 2D image can be easily affected by noise, such as scrabbling and dirty in the palm. To overcome these shortcomings, we develop a three dimensional (3D) palmprint identification system. The structured-light imaging technology is adopted to collect the 3D palmprint data, from which the stable Mean Curvature Image (MCI) is extracted. Then the Competitive Coding (CompCode) technique is used to code the 3D palmprint pattern according the MCI. By using score level fusion of MCI and its CompCode, promising recognition performance is achieved on our established 3D palmprint database.
Description: 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009, San Antonio, TX, 11-14 October 2009
URI: http://hdl.handle.net/10397/19922
ISBN: 9781424427949
ISSN: 1062-922X
DOI: 10.1109/ICSMC.2009.5346053
Appears in Collections:Conference Paper

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

SCOPUSTM   
Citations

21
Last Week
0
Last month
1
Citations as of Nov 6, 2017

WEB OF SCIENCETM
Citations

9
Last Week
0
Last month
0
Citations as of Nov 18, 2017

Page view(s)

44
Last Week
4
Last month
Checked on Nov 20, 2017

Google ScholarTM

Check

Altmetric



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