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Orientation Field Estimation for Latent Fingerprint Enhancement (2012)
| Citations: | 17 - 6 self |
BibTeX
@MISC{Feng12orientationfield,
author = {Jianjiang Feng and Jie Zhou and Anil K. Jain},
title = { Orientation Field Estimation for Latent Fingerprint Enhancement},
year = {2012}
}
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Abstract
Identifying latent fingerprints is of vital importance for law enforcement agencies to apprehend criminals and terrorists. Compared to livescan and inked fingerprints, the image quality of latent fingerprints is much lower, with complex image background, unclear ridge structure, and even overlapping patterns. A robust orientation field estimation algorithm is indispensable for enhancing and recognizing poor quality latents. However, conventional orientation field estimation algorithms, which can satisfactorily process most livescan and inked fingerprints, do not provide acceptable results for most latents. We believe that a major limitation of conventional algorithms is that they do not utilize prior knowledge of the ridge structure in fingerprints. Inspired by spelling correction techniques in natural language processing, we propose a novel fingerprint orientation field estimation algorithm based on prior knowledge of fingerprint structure. We represent prior knowledge of fingerprints using a dictionary of reference orientation patches, which is constructed using a set of true orientation fields, and the compatibility constraint between neighboring orientation patches. Orientation field estimation for latents is posed as an energy minimization problem, which is solved by loopy belief propagation. Experimental results on the challenging NIST SD27 latent fingerprint database and an overlapped latent fingerprint database demonstrate the advantages of the proposed orientation field estimation algorithm over conventional algorithms.
Keyphrases
orientation field estimation latent fingerprint enhancement prior knowledge latent fingerprint inked fingerprint conventional algorithm true orientation field novel fingerprint orientation field estimation conventional orientation field estimation algorithm ridge structure loopy belief propagation major limitation abstract identifying latent fingerprint law enforcement agency unclear ridge structure reference orientation patch complex image background orientation field natural language processing image quality overlapped latent fingerprint database index term fingerprint matching orientation patch fingerprint structure robust orientation field estimation algorithm correction technique energy minimization problem poor quality latents acceptable result orientation field estimation algorithm compatibility constraint vital importance experimental result fingerprint enhancement
