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Pre-registration for Improved Latent Fingerprint Identification
Universidad Autonóma de Madrid, Madrid, Spain.
Universidad Autonóma de Madrid, Madrid, Spain.ORCID iD: 0000-0002-6343-5656
Universidad Autonóma de Madrid, Madrid, Spain.ORCID iD: 0000-0001-5998-1489
Universidad Autonóma de Madrid, Madrid, Spain.ORCID iD: 0000-0003-0557-1948
Show others and affiliations
2014 (English)In: 2014 22nd International Conference on Pattern Recognition (ICPR) / [ed] Lisa O’Conner, Los Alamitos: IEEE Computer Society, 2014, 696-701 p.Conference paper, (Refereed)
Abstract [en]

Comparing a latent fingerprint minutiae set against a ten print fingerprint minutiae set using an automated fingerprint identification system is a challenging problem. This is mainly because latent fingerprints obtained from crime scenes are mostly partial fingerprints, and most automated systems expect approximately the same number of minutiae between query and the reference fingerprint under comparison for good performance. In this work, we propose a methodology to reduce the minutiae set of ten print with respect to that of query latent minutiae set by registering the orientation field of latent fingerprint with the ten print orientation field. By reducing the search space of minutiae from the ten print, we can improve the performance of automated identification systems for latent fingerprints. We report the performance of our registration algorithm on the NIST-SD27 database as well as the improvement in the Rank Identification accuracy of a standard minutiae-based automated system. © 2014 IEEE.

Place, publisher, year, edition, pages
Los Alamitos: IEEE Computer Society, 2014. 696-701 p.
Series
International Conference on Pattern Recognition, ISSN 1051-4651
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hh:diva-25869DOI: 10.1109/ICPR.2014.130ISI: 000359818000118Scopus ID: 2-s2.0-84919933102ISBN: 978-1-4799-5208-3 (print)OAI: oai:DiVA.org:hh-25869DiVA: diva2:728946
Conference
22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014
Projects
BBfor2
Funder
EU, FP7, Seventh Framework Programme, FP7-ITN-238803
Note

R.K. was supported by a Marie Curie Fellowship under project BBfor2 (FP7-ITN-238803). This work has also been partially supported by Spanish Guardia Civil, Cátedra UAM-Telefónica, and projects Bio-Shield (TEC2012-34881) and Contexts (S2009/TIC-1485).

Available from: 2014-06-25 Created: 2014-06-25 Last updated: 2017-03-28Bibliographically approved

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CiteExportLink to record
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Citation style
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  • harvard1
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Output format
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