Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Novel Fingerprint Matching Scheme Based on Local Structure Compatibility
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Spectral minutiae representations of fingerprints enhanced by quality data
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Latent Fingerprint Matching: Fusion of Manually Marked and Derived Minutiae
SIBGRAPI '10 Proceedings of the 2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images
Fingerprint quality indices for predicting authentication performance
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A Comparative Study of Fingerprint Image-Quality Estimation Methods
IEEE Transactions on Information Forensics and Security
Fingerprint matching by incorporating minutiae discriminability
IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
Latent fingerprint matching using descriptor-based hough transform
IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
Fingerprint matching with minutiae quality score
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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One of the major problems concerning latent fingerprint matching in forensic applications is the poor quality of fingerprint data. Therefore, local quality assessment of fingerprint images is necessary to ensure high biometric performance in this application field. While big progress has been made in matching of fingerprints by using local minutiae descriptors invariant to rotation and translation, in particular minutia cylinder-code (MCC), automatic latent fingerprint matching continues to be a challenge. The goal of our research is to develop a matching algorithm that uses minutiae information encoded by MCC with integrated local quality measures. In this paper, firstly, we associate a new local quality measure, called cylinder quality, to each MCC descriptor by combining the qualities of individual minutiae involved. Then, we propose a method for incorporating the cylinder qualities in latent fingerprint matching through a quality-based relaxation procedure in order to cope with challenges originating from poor-quality regions. Experimental results on NIST SD27 show that integrating the cylinder qualities through the proposed method improves the identification performance for latent fingerprints of ugly quality.