Palmprint verification using consistent orientation coding

Authors:
Zhenhua Guo;Wangmeng Zuo;Lei Zhang;David Zhang
Affiliations:
Biometrics Research Centre, Department of Computing, the Hong Kong Polytechnic University;School of Computer Science and Technology, Harbin Institute of Technology;Biometrics Research Centre, Department of Computing, the Hong Kong Polytechnic University;Biometrics Research Centre, Department of Computing, the Hong Kong Polytechnic University
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 9
Cited 0

Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society

Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Online Palmprint Identification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Competitive Coding Scheme for Palmprint Verification

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Ordinal Palmprint Represention for Personal Identification

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Biometric Identification System Based on Eigenpalm and Eigenfinger Features

IEEE Transactions on Pattern Analysis and Machine Intelligence
Rapid and brief communication: Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition

Pattern Recognition
Palmprint verification based on robust line orientation code

Pattern Recognition
Person recognition by fusing palmprint and palm vein images based on "Laplacianpalm" representation

Pattern Recognition
An automated palmprint recognition system

Image and Vision Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Developing accurate and robust palmprint verification algorithms is one of the key issues in automatic palmprint recognition systems. Recently, orientation based coding algorithms, such as Competitive Code (CompCode) and Orthogonal Line Ordinal Features (OLOF), have been proposed and have been attracting much research attention. Such algorithms could achieve high accuracy with high feature matching speed for real time implementation. By investigating the relationship between these two different coding schemes, we propose in this paper a feature-level fusion scheme for palmprint verification. Only the stable features which are consistent between the two codes are extracted for matching. The experimental results on the public palmprint database show that the proposed fusion code could achieve at least 14% EER (Equal Error Rate) reduction compared with either of the original codes.