MAP-MRF-based pose computation in fingerprint identification

Yuliang He; Jie Tian

doi:10.1117/12.542203

25 August 2004 MAP-MRF-based pose computation in fingerprint identification

Yuliang He, Jie Tian

Proceedings Volume 5404, Biometric Technology for Human Identification; (2004) https://doi.org/10.1117/12.542203
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Yuliang He and Jie Tian "MAP-MRF-based pose computation in fingerprint identification", Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); https://doi.org/10.1117/12.542203

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available