{"id":"https://openalex.org/W2025824454","doi":"https://doi.org/10.1109/tifs.2013.2291220","title":"A High Performance Fingerprint Matching System for Large Databases Based on GPU","display_name":"A High Performance Fingerprint Matching System for Large Databases Based on GPU","publication_year":2013,"publication_date":"2013-11-19","ids":{"openalex":"https://openalex.org/W2025824454","doi":"https://doi.org/10.1109/tifs.2013.2291220","mag":"2025824454"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2013.2291220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2013.2291220","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066276707","display_name":"Pablo D. Guti\u00e9rrez","orcid":"https://orcid.org/0000-0002-0233-1554"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Pablo David Gutierrez","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain#TAB#","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018727939","display_name":"Miguel Lastra","orcid":"https://orcid.org/0000-0002-7278-2668"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel Lastra","raw_affiliation_strings":["Department of Software Engineering, University of Granada, Granada, Spain","Department of Software Engineering, University of Granada , Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Department of Software Engineering, University of Granada , Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045016749","display_name":"Francisco Herrera","orcid":"https://orcid.org/0000-0002-7283-312X"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco Herrera","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain#TAB#","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089237494","display_name":"Jos\u00e9 M. Ben\u00edtez","orcid":"https://orcid.org/0000-0002-2346-0793"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Manuel Benitez","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain#TAB#","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066276707"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":null,"apc_paid":null,"fwci":7.1111,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.97478311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"9","issue":"1","first_page":"62","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.945173978805542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8871082067489624},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.8183491230010986},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6297398805618286},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.6248778104782104},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6044310331344604},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49127262830734253},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47737833857536316},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.46543991565704346},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4485076665878296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36599868535995483},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34940287470817566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34371423721313477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32265999913215637},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2154771089553833}],"concepts":[{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.945173978805542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8871082067489624},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8183491230010986},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6297398805618286},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.6248778104782104},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6044310331344604},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49127262830734253},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47737833857536316},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.46543991565704346},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4485076665878296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36599868535995483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34940287470817566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34371423721313477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32265999913215637},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2154771089553833},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2013.2291220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2013.2291220","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W122624267","https://openalex.org/W1973858832","https://openalex.org/W2015966651","https://openalex.org/W2034473161","https://openalex.org/W2109688480","https://openalex.org/W2112770353","https://openalex.org/W2151613430","https://openalex.org/W2157244731","https://openalex.org/W2160367574","https://openalex.org/W2166621589","https://openalex.org/W2167130165","https://openalex.org/W2167862746","https://openalex.org/W2170974086","https://openalex.org/W4230579564","https://openalex.org/W6604979249"],"related_works":["https://openalex.org/W2566091814","https://openalex.org/W1540357037","https://openalex.org/W2122988758","https://openalex.org/W2126450185","https://openalex.org/W3169072271","https://openalex.org/W3037288134","https://openalex.org/W2082047178","https://openalex.org/W2136721862","https://openalex.org/W2087945608","https://openalex.org/W1575887403"],"abstract_inverted_index":{"Fingerprints":[0],"are":[1],"the":[2,26,32,70,75,174],"biometric":[3],"features":[4],"most":[5],"used":[6],"for":[7,189],"identification.":[8],"They":[9],"can":[10],"be":[11],"characterized":[12],"through":[13],"some":[14],"particular":[15],"elements":[16],"called":[17],"minutiae.":[18],"The":[19,44,107],"identification":[20,194],"of":[21,28,34,46,81,87,176,187],"a":[22,41,62,84,99,129,143,151,158,183],"given":[23],"fingerprint":[24,38,57,101,126,171,193],"requires":[25],"matching":[27,39,48,102],"its":[29,91,147],"minutiae":[30,33],"against":[31],"other":[35],"fingerprints.":[36],"Hence,":[37],"is":[40,67,74,90],"key":[42],"process.":[43],"efficiency":[45,175],"current":[47],"algorithms":[49],"does":[50],"not":[51],"allow":[52],"their":[53],"use":[54],"in":[55,64,79,195],"large":[56,196],"databases;":[58],"to":[59,124,154],"apply":[60],"them,":[61],"breakthrough":[63],"running":[65],"performance":[66],"necessary.":[68],"Nowadays,":[69],"minutia":[71],"cylinder-code":[72],"(MCC)":[73],"best":[76],"performing":[77],"algorithm":[78,89],"terms":[80],"accuracy.":[82],"However,":[83],"weak":[85],"point":[86],"this":[88,95],"computational":[92],"requirements.":[93],"In":[94],"paper,":[96],"we":[97,140],"present":[98],"GPU":[100],"system":[103,144],"based":[104],"on":[105,114],"MCC.":[106],"many-core":[108],"computing":[109],"framework":[110],"provided":[111],"by":[112],"CUDA":[113],"NVIDIA":[115],"Tesla":[116],"and":[117,131,136,149,169],"GeForce":[118],"hardware":[119],"platforms":[120],"offers":[121],"an":[122],"opportunity":[123],"enhance":[125],"matching.":[127],"Through":[128],"thorough":[130],"careful":[132],"data":[133],"structure,":[134],"computation":[135],"memory":[137],"transfer":[138],"design,":[139],"have":[141],"developed":[142],"that":[145],"keeps":[146],"accuracy":[148],"reaches":[150],"speed-up":[152],"up":[153,182],"100.8\u00d7":[155],"compared":[156],"with":[157],"reference":[159],"sequential":[160],"CPU":[161],"implementation.":[162],"A":[163],"rigorous":[164],"empirical":[165],"study":[166],"over":[167],"captured":[168],"synthetic":[170],"databases":[172],"shows":[173],"our":[177],"proposal.":[178],"These":[179],"results":[180],"open":[181],"whole":[184],"new":[185],"field":[186],"possibilities":[188],"reliable":[190],"real":[191],"time":[192],"databases.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":3}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
