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Krish, R. P., Fierrez, J., Ramos, D., Ortega-Garcia, J. & Bigun, J. (2015). Pre-registration of latent fingerprints based on orientation field. IET Biometrics, 4(2), 42-52
Open this publication in new window or tab >>Pre-registration of latent fingerprints based on orientation field
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2015 (English)In: IET Biometrics, ISSN 2047-4938, E-ISSN 2047-4946, Vol. 4, no 2, p. 42-52Article in journal (Refereed) Published
Abstract [en]

In this study, the authors present a hierarchical algorithm to register a partial fingerprint against a full fingerprint using only the orientation fields. In the first level, they shortlist possible locations for registering the partial fingerprint in the full fingerprint using a normalised correlation measure, taking various rotations into account. As a second level, on those candidate locations, they calculate three other similarity measures. They then perform score fusion for all the estimated similarity scores to locate the final registration. By registering a partial fingerprint against a full fingerprint, they can reduce the search space of the minutiae set in the full fingerprint, thereby improving the result of partial fingerprint identification, particularly for poor quality latent fingerprints. They report the rank identification improvements of two minutiae-based automated fingerprint identification systems on the National Institute of Standards and Technology (NIST)-Special Database 27 database when they use the authors hierarchical registration as a pre-alignment. © The Institution of Engineering and Technology 2015.

Place, publisher, year, edition, pages
Stevenage: Institution of Engineering and Technology, 2015
Keywords
Partial fingerprint, Orientation field, Pre-Registration, Minutiae matcher
National Category
Signal Processing
Identifiers
urn:nbn:se:hh:diva-28020 (URN)10.1049/iet-bmt.2014.0087 (DOI)000355256000002 ()2-s2.0-84930322317 (Scopus ID)
Projects
BBfor2
Funder
EU, FP7, Seventh Framework Programme, FP7-ITN-23880
Note

R.K. was supported by a Marie Curie Fellowship under project BBfor2 from European Commission (FP7-ITN-238803). This work has also been partially supported by Spanish Guardia Civil, and project Bio-Shield (TEC2012–34881) from Spanish MICINN.

Available from: 2015-03-26 Created: 2015-03-26 Last updated: 2018-03-22Bibliographically approved
Krish, R. P., Fierrez, J., Ramos, D., Ortega-Garcia, J. & Bigun, J. (2014). Pre-registration for Improved Latent Fingerprint Identification. In: Lisa O’Conner (Ed.), 2014 22nd International Conference on Pattern Recognition (ICPR): . Paper presented at 22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014 (pp. 696-701). Los Alamitos: IEEE Computer Society
Open this publication in new window or tab >>Pre-registration for Improved Latent Fingerprint Identification
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2014 (English)In: 2014 22nd International Conference on Pattern Recognition (ICPR) / [ed] Lisa O’Conner, Los Alamitos: IEEE Computer Society, 2014, p. 696-701Conference paper, Published 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
Series
International Conference on Pattern Recognition, ISSN 1051-4651
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hh:diva-25869 (URN)10.1109/ICPR.2014.130 (DOI)000359818000118 ()2-s2.0-84919933102 (Scopus ID)978-1-4799-5208-3 (ISBN)
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: 2018-03-22Bibliographically approved
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-5998-1489

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