INFORMATICA International Journal Main Page Editorial Board Abstracting/Indexing Instructions to Authors Subscription Information Contents Author Index Papers in Production		INFORMATICA, 2000, Vol. 11, No. 3, 257-268 © Institute of Mathematics and Informatics, Vilnius, 1998 ISSN 0868-4952 Fingerprint Pre-Classification Using Ridge Density Algimantas MALICKASa, Rimantas VITKUSb aInstitute of Mathematics and Informatics Akademijos 4, 2600 Vilnius, Lithuania E-mail: malickas@pub.osf.lt bVilnius University iurlionio 21, 2600 Vilnius, Lithuania Abstract Fingerprint ridge frequency is a global feature, which is most prominently different in fingerprints of men and woman, and it also changes within the maturing period of a person. This paper proposes the method of fingerprint pre-classification, based on the ridge frequency replacement by the density of edge points of the ridge boundary. This method is to be used after applying the common steps in most fingerprint matching algorithms, namely the fingerprint image filtering, binarization and marking of good/bad image areas. The experimental performance evaluation of fingerprint pre-classification is presented. We have found that fingerprint pre-classification using the fingerprint ridge edges density is possible, and it enables to preliminary reject part of the fingerprints without heavy loss of the recognition quality. The paper presents the evaluation of two sources of fingerprint ridge edges density variability: a) different finger pressure during the fingerprint scanning, b) different distance between the geometrical center of the fingerprint and position of the fingerprint fragment. Keywords: fingerprint, ridge frequency, performance evaluation To preview Lithuanian abstract see full article text To preview full article text in PDF format click here You could obtain free Acrobat Reader from Adobe
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