Share Email Print

Proceedings Paper

Fast algorithm for minutiae matching based on multiple-ridge information
Author(s): Guoyou Wang; Jing Hu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Autonomous real-time fingerprint verification, how to judge whether two fingerprints come from the same finger or not, is an important and difficult problem in AFIS (Automated Fingerprint Identification system). In addition to the nonlinear deformation, two fingerprints from the same finger may also be dissimilar due to translation or rotation, all these factors do make the dissimilarities more great and lead to misjudgment, thus the correct verification rate highly depends on the deformation degree. In this paper, we present a new fast simple algorithm for fingerprint matching, derived from the Chang et al.'s method, to solve the problem of optimal matches between two fingerprints under nonlinear deformation. The proposed algorithm uses not only the feature points of fingerprints but also the multiple information of the ridge to reduce the computational complexity in fingerprint verification. Experiments with a number of fingerprint images have shown that this algorithm has higher efficiency than the existing of methods due to the reduced searching operations.

Paper Details

Date Published: 20 September 2001
PDF: 8 pages
Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); doi: 10.1117/12.441530
Show Author Affiliations
Guoyou Wang, Huazhong Univ. of Science and Technology (China)
Jing Hu, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4552:
Image Matching and Analysis

© SPIE. Terms of Use
Back to Top