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. These experiments show clear improvements in the identification per-formance of latent fingerprints of ugly quality. 1