Reference Point Detection for Fingerprint Recognition

Authors:
Xudong Jiang;Manhua Liu;Alex Chichung Kot
Affiliations:
Institute for Infocomm Research;Nanyang Technological University;Nanyang Technological Universit
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Year:
2004

Citing 0
Cited 6

Efficient fingerprint search based on database clustering

Pattern Recognition
Efficient Fingercode Classification

IEICE - Transactions on Information and Systems
Reference Point Detection for Arch Type Fingerprints

ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Residual orientation modeling for fingerprint enhancement and singular point detection

Pattern Recognition
Applications of the discrete hodge helmholtz decomposition to image and video processing

PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
An efficient algorithm for fingercode-based biometric identification

OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

A fingerprint recognition algorithm needs to recover the pose transformation between the input fingerprint and the template. One solution is to determine a unique reference point for fingerprint alignment. This work develops a new algorithm to detect a unique reference point consistently for all types of fingerprints. Our detection algorithm works on the orientation field smoothed with an adaptively varying neighborhood. The adaptive window is used to attenuate noise of orientation field effectively while maintaining the detailed orientation information in the high curvature area. A new approach of reference point localization is proposed that is based on hierarchical analysis of the orientation coherence. Experiments demonstrate that our developed algorithm consistently locates a unique reference point with high accuracy for all types of fingerprints.