Estimation of cylinder quality measures from quality maps for Minutia-Cylinder Code based latent fingerprint matching

Poor quality of fingerprint data is one of the major problems concerning latent fingerprint matching in forensic applications. Local quality of fingerprint plays a very important role in this application field to ensure high recognition performance. Al- though big progress has been made in matching of fingerprints using local minutiae descriptors, in particular Minutia Cylinder- Code (MCC), automatic latent fingerprint matching continues to be a challenge. Previously we proposed a matching algo- rithm that uses minutiae information encoded by MCC with in- tegrated local quality measures associated to each MCC called cylinder quality measures. In our previous work, cylinder qual- ity measures for latent case have been proposed by combining the subjective qualities of individual minutiae involved. In this paper, we propose an alternative method to estimate the cylin- der quality measures directly from fingerprint quality maps, in particular ridge clarity maps, by taking into account the num- ber of involving minutiae as well. Integration of MCC with the proposed cylinder quality measures was evaluated through ex- periments on the latent fingerprint database NIST SD27, which show clear improvements in the identification performance of latent fingerprints of ugly quality.

Van Leeuwen, David
Published in:
Proceedings of Biometric Technologies in Forensic Science (BTFS-2013), ISSN 2351-9738, 6-10
Presented at:
The Conference on Biometric Technologies in Forensic Science (BTFS 2013), Nijmegen, the Netherlands, October 14-15, 2013

 Record created 2013-10-03, last modified 2018-10-07

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