DocumentCode :
2848192
Title :
Fingerprint enhancement using Hierarchical Markov Random Fields
Author :
Rama, Reddy K. N. V. ; Namboodiri, Anoop M.
Author_Institution :
HIT Hyderabad, Hyderabad, India
fYear :
2011
fDate :
11-13 Oct. 2011
Firstpage :
1
Lastpage :
8
Abstract :
We propose a novel approach to enhance the finger print image and extract features such as directional fields, minutiae and singular points reliably using a Hierarchical Markov Random Field Model. Unlike traditional finger print enhancement techniques, we use previously learned prior patterns from a set of clean fingerprints to restore a noisy one. We are able to recover the ridge and valley structure from degraded and noisy fingerprint images by formulating it as a hierarchical interconnected MRF that processes the information at multiple resolutions. The top layer incorporates the compatibility between an observed degraded fingerprint patch and prior training patterns in addition to ridge continuity across neighboring patches. A second layer accounts for spatial smoothness of the orientation field and its discontinuity at the singularities. Further layers could be used for incorporating higher level priors such as the class of the fingerprint. The strength of the pro posed approach lies in its flexibility to model possible variations in fingerprint images as patches and from its ability to incorporate contextual information at various resolutions. Experimental results (both quantitative and qualitative) clearly demonstrate the effectiveness of this approach.
Keywords :
Markov processes; feature extraction; fingerprint identification; image enhancement; feature extraction; field orientation; finger print image; fingerprint enhancement; fingerprint images; fingerprint patch; hierarchical Markov random fields; spatial smoothness; Markov processes; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics (IJCB), 2011 International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-1358-3
Electronic_ISBN :
978-1-4577-1357-6
Type :
conf
DOI :
10.1109/IJCB.2011.6117540
Filename :
6117540
Link To Document :
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