{"id":"https://openalex.org/W3149780025","doi":"https://doi.org/10.1109/tifs.2021.3134867","title":"C2CL: Contact to Contactless Fingerprint Matching","display_name":"C2CL: Contact to Contactless Fingerprint Matching","publication_year":2021,"publication_date":"2021-12-10","ids":{"openalex":"https://openalex.org/W3149780025","doi":"https://doi.org/10.1109/tifs.2021.3134867","mag":"3149780025"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2021.3134867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2021.3134867","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":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.02811","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027893701","display_name":"Steven A. Grosz","orcid":"https://orcid.org/0000-0002-9186-3543"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Steven A. Grosz","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015429161","display_name":"Joshua J. Engelsma","orcid":"https://orcid.org/0000-0002-2264-8313"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua J. Engelsma","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Eryun Liu","orcid":"https://orcid.org/0000-0002-2344-4283"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Eryun Liu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":null,"display_name":"Anil K. Jain","orcid":"https://orcid.org/0000-0002-6369-6995"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anil K. Jain","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027893701"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.3086,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51785714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"196","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9997000098228455,"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":0.9997000098228455,"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/T11448","display_name":"Face recognition and analysis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.7580164074897766},{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.748694658279419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7109043598175049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6666841506958008},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6496630311012268},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6374742984771729},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6297343373298645},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5527045130729675},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.4703538417816162},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4655728042125702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12984654307365417}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7580164074897766},{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.748694658279419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109043598175049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6666841506958008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6496630311012268},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6374742984771729},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6297343373298645},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5527045130729675},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.4703538417816162},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4655728042125702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12984654307365417},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tifs.2021.3134867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2021.3134867","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"},{"id":"pmh:oai:arXiv.org:2104.02811","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.02811","pdf_url":"https://arxiv.org/pdf/2104.02811","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3149780025","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2104.02811.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2104.02811","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2104.02811","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.02811","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.02811","pdf_url":"https://arxiv.org/pdf/2104.02811","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G609341364","display_name":null,"funder_award_id":"1841517","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W100001351","https://openalex.org/W117975506","https://openalex.org/W996750703","https://openalex.org/W1495076572","https://openalex.org/W1526254449","https://openalex.org/W1564952611","https://openalex.org/W1569797211","https://openalex.org/W1573795313","https://openalex.org/W1583438681","https://openalex.org/W1901129140","https://openalex.org/W1951183756","https://openalex.org/W1967790662","https://openalex.org/W2021966547","https://openalex.org/W2026421371","https://openalex.org/W2033860904","https://openalex.org/W2051294001","https://openalex.org/W2095989776","https://openalex.org/W2113518339","https://openalex.org/W2122027310","https://openalex.org/W2125125669","https://openalex.org/W2126870276","https://openalex.org/W2152535543","https://openalex.org/W2153717930","https://openalex.org/W2156513857","https://openalex.org/W2210638116","https://openalex.org/W2304245051","https://openalex.org/W2328176404","https://openalex.org/W2536925565","https://openalex.org/W2576801940","https://openalex.org/W2782304390","https://openalex.org/W2794701778","https://openalex.org/W2799131170","https://openalex.org/W2806112117","https://openalex.org/W2876459260","https://openalex.org/W2896439386","https://openalex.org/W2945741063","https://openalex.org/W2949716915","https://openalex.org/W2950893240","https://openalex.org/W2963012812","https://openalex.org/W2964101377","https://openalex.org/W2975084324","https://openalex.org/W2996883050","https://openalex.org/W3006568837","https://openalex.org/W3033290794","https://openalex.org/W3046167810","https://openalex.org/W3119296163","https://openalex.org/W3133653569","https://openalex.org/W4255885250","https://openalex.org/W6618372016","https://openalex.org/W6635145621","https://openalex.org/W6750683371","https://openalex.org/W6791218184"],"related_works":["https://openalex.org/W2608025327","https://openalex.org/W2876459260","https://openalex.org/W3195130078","https://openalex.org/W3179615769","https://openalex.org/W3034473953","https://openalex.org/W2107766295","https://openalex.org/W2079966362","https://openalex.org/W2898944354","https://openalex.org/W1801409550","https://openalex.org/W2021472402","https://openalex.org/W1970405634","https://openalex.org/W2967602781","https://openalex.org/W2932957905","https://openalex.org/W1969472472","https://openalex.org/W2533618406","https://openalex.org/W2064783536","https://openalex.org/W2074919870","https://openalex.org/W2977669050","https://openalex.org/W2517613247","https://openalex.org/W2861308489"],"abstract_inverted_index":{"Matching":[0],"contactless":[1,26,84,121,139,193],"fingerprints":[2,42,141,145],"or":[3],"finger":[4,62,95],"photos":[5,40],"to":[6,20,70,96,166,192,202],"contact-based":[7,103,144],"fingerprint":[8,194],"impressions":[9],"has":[10],"received":[11],"increased":[12],"attention":[13],"in":[14,187,197],"the":[15,21,25,29,72,94,97,168,188,198],"wake":[16],"of":[17,24,32,38,41,59,83,93,102,110,136,171,200],"COVID-19":[18],"due":[19],"superior":[22],"hygiene":[23],"acquisition":[27],"and":[28,67,91,105,119,130,142,151],"widespread":[30],"availability":[31],"low":[33,80],"cost":[34],"mobile":[35,61,161],"phones":[36],"capable":[37],"capturing":[39],"with":[43],"sufficient":[44],"resolution":[45],"for":[46,155,190],"verification":[47],"purposes.":[48],"This":[49],"paper":[50],"presents":[51],"an":[52],"end-to-end":[53],"automated":[54],"system,":[55],"called":[56],"C2CL,":[57],"comprised":[58],"a":[60],"photo":[63],"capture":[64,162],"app,":[65],"preprocessing,":[66],"matching":[68,125,195],"algorithms":[69],"handle":[71],"challenges":[73],"inhibiting":[74],"previous":[75],"cross-matching":[76],"methods;":[77],"namely":[78],"i)":[79],"ridge-valley":[81],"contrast":[82],"fingerprints,":[85,104,122],"ii)":[86],"varying":[87],"roll,":[88],"pitch,":[89],"yaw,":[90],"distance":[92],"camera,":[98],"iii)":[99],"non-linear":[100],"distortion":[101],"vi)":[106],"different":[107],"image":[108],"qualities":[109],"smartphone":[111],"cameras.":[112],"Our":[113],"preprocessing":[114],"algorithm":[115,126],"segments,":[116],"enhances,":[117],"scales,":[118],"unwarps":[120],"while":[123],"our":[124,160,172],"extracts":[127],"both":[128],"minutiae":[129],"texture":[131],"representations.":[132],"A":[133],"sequestered":[134],"dataset":[135],"9,":[137],"888":[138],"2D":[140],"corresponding":[143],"from":[146],"206":[147],"subjects":[148],"(2":[149],"thumbs":[150],"2":[152],"index":[153],"fingers":[154],"each":[156],"subject)":[157],"acquired":[158],"using":[159],"app":[163],"is":[164],"used":[165],"evaluate":[167],"cross-database":[169],"performance":[170],"proposed":[173],"algorithm.":[174],"Furthermore,":[175],"additional":[176],"experimental":[177],"results":[178],"on":[179],"3":[180],"publicly":[181],"available":[182],"datasets":[183],"show":[184],"substantial":[185],"improvement":[186],"state-of-the-art":[189],"contact":[191],"(TAR":[196],"range":[199],"96.67%":[201],"98.30%":[203],"at":[204],"FAR=0.01%).":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
