25 August 2004 MAP-MRF-based pose computation in fingerprint identification
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Abstract
This paper introduces a MAP-MRF (Maximum A posteriori Probability estimation of Markov Random Field) model using the relational structures among features for geometric transformation in fingerprint identification. Additionally, relational projected distances, a novel derivative features among a pair of minutiae, is used for transformation-invariant description. The promising experimental results of the method show that it is effective.
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Yuliang He, Yuliang He, Jie Tian, Jie Tian, } "MAP-MRF-based pose computation in fingerprint identification", Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); doi: 10.1117/12.542203; https://doi.org/10.1117/12.542203
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