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Proceedings Paper

MAP-MRF-based pose computation in fingerprint identification
Author(s): Yuliang He; Jie Tian
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Paper 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.

Paper Details

Date Published: 25 August 2004
PDF: 6 pages
Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); doi: 10.1117/12.542203
Show Author Affiliations
Yuliang He, Institute of Automation/CAS (China)
Jie Tian, Institute of Automation/CAS (China)


Published in SPIE Proceedings Vol. 5404:
Biometric Technology for Human Identification
Anil K. Jain; Nalini K. Ratha, Editor(s)

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