dc.contributor.author | Krish, Ram P | en_US |
dc.contributor.author | Fiérrez Aguilar, Julián | es_ES |
dc.contributor.author | Ramos Castro, Daniel | es_ES |
dc.contributor.author | Alonso-Fernández, Fernando | es_ES |
dc.contributor.author | Bigun, Josef | |
dc.contributor.other | UAM. Departamento de Tecnología Electrónica y de las Comunicaciones | es_ES |
dc.date.accessioned | 2020-06-23T11:23:18Z | es_ES |
dc.date.available | 2020-06-23T11:23:18Z | es_ES |
dc.date.issued | 2019-10 | es_ES |
dc.identifier.citation | Information Fusion 50 (2019): 9-19 | en_US |
dc.identifier.issn | 1566-2535 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10486/691388 | en_US |
dc.description.abstract | Latent fingerprints are usually processed with Automated Fingerprint Identification Systems (AFIS) by law enforcement agencies to narrow down possible suspects from a criminal database. AFIS do not commonly use all discriminatory features available in fingerprints but typically use only some types of features automatically extracted by a feature extraction algorithm. In this work, we explore ways to improve rank identification accuracies of AFIS when only a partial latent fingerprint is available. Towards solving this challenge, we propose a method that exploits extended fingerprint features (unusual/rare minutiae) not commonly considered in AFIS. This new method can be combined with any existing minutiae-based matcher. We first compute a similarity score based on least squares between latent and tenprint minutiae points, with rare minutiae features as reference points. Then the similarity score of the reference minutiae-based matcher at hand is modified based on a fitting error from the least square similarity stage. We use a realistic forensic fingerprint casework database in our experiments which contains rare minutiae features obtained from Guardia Civil, the Spanish law enforcement agency. Experiments are conducted using three minutiae-based matchers as a reference, namely: NIST-Bozorth3, VeriFinger-SDK and MCC-SDK. We report significant improvements in the rank identification accuracies when these minutiae matchers are augmented with our proposed algorithm based on rare minutiae features | en_US |
dc.description.sponsorship | R.K. was supported for the most part of this work 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 CogniMetrics (TEC2015-70627-R) from Spanish MINECO/FEDER. The researchers from Halmstad University acknowledge funding from KK-SIDUS-AIR project and the CAISR program in Sweden. | en_US |
dc.format.extent | 11 pág. | es_ES |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Information Fusion | en_US |
dc.rights | © 2018 Elsevier | en_US |
dc.subject.other | Latent Fingerprints | en_US |
dc.subject.other | Forensics | en_US |
dc.subject.other | Extended Feature Sets | en_US |
dc.subject.other | Rare minutiae features | en_US |
dc.title | Improving Automated Latent Fingerprint Identification using Extended Minutia Types | en_US |
dc.type | article | en_US |
dc.subject.eciencia | Telecomunicaciones | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.inffus.2018.10.001 | en_US |
dc.identifier.doi | 10.1016/j.inffus.2018.10.001 | en_US |
dc.identifier.publicationfirstpage | 9 | es_ES |
dc.identifier.publicationissue | 50 | es_ES |
dc.identifier.publicationlastpage | 19 | es_ES |
dc.relation.projectID | Gobierno de españa. TEC2015-70627-R | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/238803 | en_US |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en_US |
dc.contributor.group | Biometrics and Data Pattern Analytics (BIDA Lab) | en_US |
dc.rights.cc | Reconocimiento – NoComercial – SinObraDerivada | es_ES |
dc.rights.accessRights | openAccess | en_US |
dc.authorUAM | Fierrez Aguilar, Julián (261834) | es_ES |
dc.authorUAM | Ramos Castro, Daniel (261615) | es_ES |
dc.facultadUAM | Escuela Politécnica Superior | |