Title :
Fingerprints Recognition Using Minutiae Extraction: a Fuzzy Approach.
Author :
Montesanto, A. ; Baldassarri, P. ; Vallesi, G. ; Tascini, G.
Author_Institution :
Univ. Politecnica delle Marche, Ancona
Abstract :
The aim of this paper is to study the fingerprint verification based on local ridge discontinuities features (minutiae) only using grey scale images. We extract minutiae using two algorithms those following ridge lines and then recording ridge endings and bifurcations. Moreover we use a third algorithm able to develop a minutiae verification processing a local area using a neural network ( multilayer perceptron). Fingerprint distortion is filtered using a minutiae whole representation based on regular invariant moments. The results of the three minutiae extraction algorithms are joined during the minutiae pattern matching phase for fingerprint verification. Here we propose a new method of matching that use fuzzy operator to bypass the problem of different numbers of minutiae extracted from the algorithms. Experimental evidences show fingerprint recognition up to 95%.
Keywords :
feature extraction; fingerprint identification; fuzzy set theory; multilayer perceptrons; fingerprint verification; fingerprints recognition; fuzzy approach; grey scale images; local ridge discontinuities features; minutiae extraction; multilayer perceptron; recording ridge endings; Bifurcation; Biometrics; Data mining; Feature extraction; Fingerprint recognition; Fingers; Multi-layer neural network; Navigation; Neural networks; Spatial databases;
Conference_Titel :
Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on
Conference_Location :
Modena
Print_ISBN :
978-0-7695-2877-9
DOI :
10.1109/ICIAP.2007.4362784