Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/209
PIRA download icon_1.1View/Download Full Text
Title: Online palmprint identification
Authors: Zhang, DD 
Kong, WKA
You, J 
Wong, M
Issue Date: Sep-2003
Source: IEEE transactions on pattern analysis and machine intelligence, Sept. 2003, v. 25, no. 9, p.1041-1050
Abstract: Biometrics-based personal identification is regarded as an effective method for automatically recognizing, with a high confidence, a person's identity. This paper presents a new biometric approach to online personal identification using palmprint technology. In contrast to the existing methods, our online palmprint identification system employs low-resolution palmprint images to achieve effective personal identification. The system consists of two parts: a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition. A robust image coordinate system is defined to facilitate image alignment for feature extraction. In addition, a 2D Gabor phase encoding scheme is proposed for palmprint feature extraction and representation. The experimental results demonstrate the feasibility of the proposed system.
Keywords: Biometrics
Online palmprint identification
Texture analysis
Low-resolution image
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on pattern analysis and machine intelligence 
ISSN: 0162-8828
EISSN: 1939-3539
DOI: 10.1109/TPAMI.2003.1227981
Rights: © 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
94.pdf1.27 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

9,822
Last Week
31
Last month
Citations as of Dec 15, 2024

Downloads

2,465
Citations as of Dec 15, 2024

SCOPUSTM   
Citations

1,310
Last Week
2
Last month
7
Citations as of Dec 19, 2024

WEB OF SCIENCETM
Citations

983
Last Week
2
Last month
5
Citations as of Dec 19, 2024

Google ScholarTM

Check

Altmetric


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