Singular feature detection and classification of fingerprints using Hough transform

Sergey O. Novikov; Valery S. Kot

doi:10.1117/12.301375

1 February 1998 Singular feature detection and classification of fingerprints using Hough transform

Sergey O. Novikov, Valery S. Kot

Proceedings Volume 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences; (1998) https://doi.org/10.1117/12.301375
Event: Sixth International Workshop on Digital Image Processing and Computer Graphics, 1997, Vienna, Austria

Abstract

The extraction of some unique for a given fingerprint reference point will considerably reduce the size of the description code and an indeterminate zone where an exhaustive matching of the minutiae sets must be performed, besides there is an opportunity not only to increase the accuracy of identification, but also to receive an exact criterion of availability ofpresented fingerprint in a database. The most essential in this case is the detection of reference point with accuracy not worse than up to 1/2 of an average period of structure (here the latter means an average shortest distance between distinct ridges). There are variety ofalgoritkms for singular points detection and automatic classification of fingerprints. The distinct features of our approach are the possibility to obtain very high accuracy, an opportunity to be applied before the stage of directional image generation, and ,in some cases, higher robustness to noises and distortions. Two main methods for singular reference point detection using Hough transform are proposed: clustering and relaxational, a classification of fingerprint based on a trajectory and dynamics of convergence being executed as a byproduct in the latter case. The offered algorithms were implemented in the test fingerprints identification system, the results obtained on the databases of 10000 and 500000 fingerprints have demonstrated accuracy of identification about 98% and 97% respectively. Keywords: image processing, directional image, fingerprint recognition, minutiae points.

Citation Download Citation

Sergey O. Novikov and Valery S. Kot "Singular feature detection and classification of fingerprints using Hough transform", Proc. SPIE 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences, (1 February 1998); https://doi.org/10.1117/12.301375

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