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Preprocessing Algorithm for Enhancement of Fingerprint Identification  

Jung, Seung-Min (Department of Information Science and Telecom, Hanshin University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.3, 2007 , pp. 61-69 More about this Journal
Abstract
This paper proposes new preprocessing algorithm to extract minutiae in the process of fingerprint recognition. Fingerprint images quality enhancement is a topic phase to ensure good performance in a topic phase to ensure good performance in a Automatic Fingerprint Identification System(AFIS) based on minutiae matching. This paper proposes an algorithm to improve fingerprint image preprocessing to extract minutiae accurately based on directional filter. We improved the suitability of low quality fingerprint images to better suit fingerprint recognition by using valid ridge vector and ridge probability of fingerprint images. With the proposed fingerprint improvement algorithm, noise is removed and presumed ridges are more clearly ascertained. The algorithm is based on five step: computation of effective ridge vector, computation of ridge probability, noise reduction, ridge emphasis, and orientation compensation and frequency estimation. The performance of the proposed approach has been evaluated on two set of images: the first one is self collected using a capacitive semiconductor sensor and second one is DB3 database from Fingerprint Verification Competition (FVC).
Keywords
fingerprint; ridge; valley; minutiae; enhancement; pre-processing; orientation;
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