Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Palmprint Texture Analysis Based on Low-Resolution Images for Personal Authentication
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
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
Palmprint identification using feature-level fusion
Pattern Recognition
Palmprint verification based on robust line orientation code
Pattern Recognition
A Palmprint Recognition Algorithm Using Phase-Only Correlation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
An automated palmprint recognition system
Image and Vision Computing
Palmprint verification using hierarchical decomposition
Pattern Recognition
A palmprint recognition algorithm using principal component analysis of phase information
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A palmprint recognition algorithm using phase-based correspondence matching
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A study of touchless fingerprint recognition system
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Palmprint Classification Using Multiple Advanced Correlation Filters and Palm-Specific Segmentation
IEEE Transactions on Information Forensics and Security - Part 2
IEEE Transactions on Image Processing
Hi-index | 0.00 |
When a cellular phone is lost or stolen, it may be used improperly or the personal information may be stolen from it by a malicious user. Biometric authentication such as palm-print recognition is the strongest of the personal authentication technologies designed to prevent such misuse. Ito et al. proposed several palmprint recognition schemes using correspondence matching based on the phase-only correlation among various schemes. However, these schemes require a palmprint image to be captured with the hand touching the dedicated device, while palmprint images must be captured without such physical contact when using cellular phones. Thus these schemes cannot be applied to cellular phones since there are large positioning gaps and large differences in brightness and distortion between the images. Furthermore, they are not implemented in the cellular phone and their performances are not evaluated either. In this paper, we describe the palmprint recognition algorithm that adds Yörük et al.'s preprocessing technique to Ito et al.'s schemes, which are robust against the aforementioned problems. We propose a remote system, which has several advantages than the local system and thus is the main theme of this paper, between the cellular phone and authentication server using the aforementioned algorithm. We implement the proposed system, specially for the Android phone as a terminal of the user side. We also show the validity of the proposed system by confirming and considering the tested accuracy level. We furthermore show that the proposed system is practical by confirming the processing time.