Fingerprint Reference Point Detection Based on Local Axial Symmetry

Authors:
Tong Liu;Chao Zhang;Pengwei Hao
Affiliations:
Peking University, Beijing, 100871, China;Peking University, Beijing, 100871, China;Queen Mary University of London, UK
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Year:
2006

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Pattern Recognition

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Abstract

Reference point detection is an important process for fingerprint analysis. In this paper, we propose a novel feature which is named local axial symmetry (LAS) and present an algorithm to calculate reference point of a fingerprint based on this kind of feature. Experimental results demonstrate its feasibility, validity and the ability to detect reference points of all classes of fingerprints including arch-type fingerprints which is difficult to locate a stable reference point with other methods.