18th International Conference on Pattern Recognition (ICPR'06) Volume 1 Fingerprint Reference Point Detection Based on Local Axial Symmetry Hong Kong August 20-August 24 ISBN: 0-7695-2521-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.574
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.
Citation:
Tong Liu, Chao Zhang, Pengwei Hao, "Fingerprint Reference Point Detection Based on Local Axial Symmetry," icpr, vol. 1, pp.1050-1053, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||