Orientation Field Estimation for Latent Fingerprint Enhancement

Identifying latent fingerprints is of vital importance for law enforcement agencies to apprehend criminals and terrorists. Compared to live-scan and inked fingerprints, the image quality of latent fingerprints is much lower, with complex image background, unclear ridge structure, and even overlappin...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 35; no. 4; pp. 925 - 940
Main Authors:	Jianjiang Feng, Jie Zhou, Jain, A. K.
Format:	Journal Article
Language:	English
Published:	Los Alamitos, CA IEEE 01.04.2013 IEEE Computer Society
Subjects:	Algorithms Applied sciences Artificial intelligence Biometric Identification - methods Computer science; control theory; systems Databases, Factual Dermatoglyphics - classification Dictionaries dictionary Estimation Exact sciences and technology Feature extraction fingerprint enhancement Fingerprint matching Humans Image Processing, Computer-Assisted - methods Information retrieval. Graph latent fingerprint Mathematical model Noise Noise measurement orientation field Pattern recognition. Digital image processing. Computational geometry Secret Smoothing methods Speech and sound recognition and synthesis. Linguistics spelling correction Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Theoretical computing Energy method Dictionaries Image processing Ink orientation field Language processing Natural language Computer security fingerprint enhancement latent fingerprint Belief Fingerprint Terrorism Criminality Minimization Knowledge base Police Fingerprint matching Image quality Experimental result dictionary Fingerprint identification spelling correction Probabilistic net Graph method Compatibility
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:	Get full text
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