{"id":"https://openalex.org/W2625817666","doi":"https://doi.org/10.1002/int.21948","title":"On the use of convolutional neural networks for robust classification of multiple fingerprint captures","display_name":"On the use of convolutional neural networks for robust classification of multiple fingerprint captures","publication_year":2017,"publication_date":"2017-11-14","ids":{"openalex":"https://openalex.org/W2625817666","doi":"https://doi.org/10.1002/int.21948","mag":"2625817666"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1002/int.21948","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1002/int.21948","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082713397","display_name":"Daniel Peralta","orcid":"https://orcid.org/0000-0002-7544-8411"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I4210139803","display_name":"VIB-UGent Center for Inflammation Research","ror":"https://ror.org/04q4ydz28","country_code":"BE","type":"facility","lineage":["https://openalex.org/I2802017950","https://openalex.org/I32597200","https://openalex.org/I4210139803"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Daniel Peralta","raw_affiliation_strings":["Data Mining and Modelling for Biomedicine group, VIB Center for Inflammation Research, Ghent, Belgium","Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Data Mining and Modelling for Biomedicine group, VIB Center for Inflammation Research, Ghent, Belgium","institution_ids":["https://openalex.org/I4210139803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075541426","display_name":"Isaac Triguero","orcid":"https://orcid.org/0000-0002-0150-0651"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Isaac Triguero","raw_affiliation_strings":["School of Computer Science, University of Nottingham, Jubilee Campus, Nottingham, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Jubilee Campus, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078909305","display_name":"Salvador Garc\u00eda","orcid":"https://orcid.org/0000-0003-4494-7565"},"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":"Salvador Garc\u00eda","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence of the University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence of the University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001585713","display_name":"Yvan Saeys","orcid":"https://orcid.org/0000-0002-0415-1506"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I4210139803","display_name":"VIB-UGent Center for Inflammation Research","ror":"https://ror.org/04q4ydz28","country_code":"BE","type":"facility","lineage":["https://openalex.org/I2802017950","https://openalex.org/I32597200","https://openalex.org/I4210139803"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Yvan Saeys","raw_affiliation_strings":["Data Mining and Modelling for Biomedicine group, VIB Center for Inflammation Research, Ghent, Belgium","Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Data Mining and Modelling for Biomedicine group, VIB Center for Inflammation Research, Ghent, Belgium","institution_ids":["https://openalex.org/I4210139803"]}]},{"author_position":"middle","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 M. Benitez","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence of the University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence of the University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045016749","display_name":"Francisco Herrera","orcid":"https://orcid.org/0000-0002-7283-312X"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]},{"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","SA"],"is_corresponding":false,"raw_author_name":"Francisco Herrera","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence of the University of Granada, Granada, Spain","Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]},{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence of the University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institution_assertions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082713397"],"corresponding_institution_ids":["https://openalex.org/I32597200","https://openalex.org/I4210139803"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500,"provenance":"doaj"},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500,"provenance":"doaj"},"fwci":8.339,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":78,"citation_normalized_percentile":{"value":0.999763,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"33","issue":"1","first_page":"213","last_page":"230"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9999,"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":0.9999,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.996,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9825,"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/disjoint-sets","display_name":"Disjoint sets","score":0.5562845},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.48731813},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4782592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79751956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7429342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.71237016},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6879765},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5971544},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.59117526},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.5562845},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.50541615},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.48731813},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.48169455},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4782592},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41934815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3542241},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17956188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.117036015},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1002/int.21948","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/50009","pdf_url":"https://digibug.ugr.es/bitstream/10481/50009/1/Peralta_Convolutional%20neural%20networks.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":["Universidad de Granada"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://eprints.nottingham.ac.uk/48156/","pdf_url":"https://nottingham-repository.worktribe.com/preview/894595/peralta-triguero-garcia-saeys-benitez-herrera.pdf","source":{"id":"https://openalex.org/S4377196364","display_name":"Nottingham ePrints (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":["University of Nottingham"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/file/894578/1/peralta-triguero-garcia-saeys-benitez-herrera.pdf","pdf_url":"https://nottingham-repository.worktribe.com/file/894578/1/peralta-triguero-garcia-saeys-benitez-herrera.pdf","source":{"id":"https://openalex.org/S4306402481","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":["University of Nottingham"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1703.07270","pdf_url":"https://arxiv.org/pdf/1703.07270","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1002/int.21948","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320309764","funder_display_name":"Fundaci\u00f3n BBVA","award_id":"75/2016 BigDaPTOOLS"},{"funder":"https://openalex.org/F4320323737","funder_display_name":"Ministerio de Ciencia y Tecnolog\u00eda","award_id":"TIN2014-57251-P"}],"datasets":[],"versions":[],"referenced_works_count":67,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1534649803","https://openalex.org/W1551725370","https://openalex.org/W156563700","https://openalex.org/W1584393767","https://openalex.org/W1585749894","https://openalex.org/W1963890991","https://openalex.org/W1965277106","https://openalex.org/W1994566870","https://openalex.org/W1997152426","https://openalex.org/W2001155765","https://openalex.org/W2003178620","https://openalex.org/W2008056655","https://openalex.org/W2008502610","https://openalex.org/W2012611697","https://openalex.org/W2024538372","https://openalex.org/W2052655256","https://openalex.org/W2064312517","https://openalex.org/W2068049638","https://openalex.org/W2073660445","https://openalex.org/W2085770564","https://openalex.org/W2090089884","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2121818297","https://openalex.org/W2122111042","https://openalex.org/W2124874699","https://openalex.org/W2125055259","https://openalex.org/W2135426669","https://openalex.org/W2136975665","https://openalex.org/W2137983211","https://openalex.org/W2144355108","https://openalex.org/W2145262111","https://openalex.org/W2148680321","https://openalex.org/W2149715693","https://openalex.org/W2153227099","https://openalex.org/W2155893237","https://openalex.org/W2160367574","https://openalex.org/W2163605009","https://openalex.org/W2264076065","https://openalex.org/W2285045461","https://openalex.org/W2317965018","https://openalex.org/W2332727489","https://openalex.org/W2340978751","https://openalex.org/W2342167220","https://openalex.org/W2404683152","https://openalex.org/W2480295938","https://openalex.org/W2509902783","https://openalex.org/W2555793060","https://openalex.org/W2559870345","https://openalex.org/W2564313452","https://openalex.org/W2564734887","https://openalex.org/W2577422798","https://openalex.org/W2579582149","https://openalex.org/W2590001609","https://openalex.org/W2602428493","https://openalex.org/W2764270061","https://openalex.org/W2803385228","https://openalex.org/W2898529688","https://openalex.org/W2919115771","https://openalex.org/W3099731368","https://openalex.org/W3101824741","https://openalex.org/W4230579564","https://openalex.org/W4248506240","https://openalex.org/W4298183945","https://openalex.org/W92913008"],"related_works":["https://openalex.org/W4389371618","https://openalex.org/W4362496757","https://openalex.org/W4312797710","https://openalex.org/W3014822659","https://openalex.org/W2608025327","https://openalex.org/W2566091814","https://openalex.org/W2148654711","https://openalex.org/W2117826006","https://openalex.org/W2114937328","https://openalex.org/W1621827506"],"abstract_inverted_index":{"Fingerprint":[0],"classification":[1,47,74,134],"is":[2,29,104],"one":[3],"of":[4,16,43,54,83,97,132,138,181,185],"the":[5,11,36,40,44,52,57,81,91,95,98,130,133,139,145,148,176,182],"most":[6],"common":[7],"approaches":[8],"to":[9,35,72,106,129,143],"accelerate":[10],"identification":[12],"in":[13,147],"large":[14],"databases":[15],"fingerprints.":[17],"Fingerprints":[18],"are":[19,115],"grouped":[20],"into":[21],"disjoint":[22],"classes,":[23],"so":[24],"that":[25,114],"an":[26,70,84,102],"input":[27],"fingerprint":[28,58,73],"compared":[30],"only":[31],"with":[32],"those":[33],"belonging":[34],"predicted":[37],"class,":[38],"reducing":[39],"penetration":[41,146,160],"rate":[42,161],"search.":[45],"The":[46,124,170],"procedure":[48],"usually":[49],"starts":[50],"by":[51,89,117],"extraction":[53,87,188],"features":[55],"from":[56],"image,":[59],"frequently":[60],"based":[61,165],"on":[62,166,175],"visual":[63],"characteristics.":[64],"In":[65,150],"this":[66],"work,":[67],"we":[68],"propose":[69],"approach":[71,103],"using":[75],"convolutional":[76,153],"neural":[77,154],"networks,":[78],"which":[79],"avoid":[80],"necessity":[82],"explicit":[85,167],"feature":[86,168,187],"process":[88],"incorporating":[90],"image":[92],"processing":[93],"within":[94],"training":[96],"classifier.":[99],"Furthermore,":[100],"such":[101,121],"able":[105],"predict":[107],"a":[108,179],"class":[109],"even":[110],"for":[111,135],"low-quality":[112],"fingerprints":[113],"rejected":[116],"commonly":[118],"used":[119],"algorithms,":[120],"as":[122,178],"FingerCode.":[123],"study":[125],"gives":[126],"special":[127],"importance":[128],"robustness":[131],"different":[136],"impressions":[137],"same":[140],"fingerprint,":[141],"aiming":[142],"minimize":[144],"database.":[149],"our":[151],"experiments,":[152],"networks":[155,172],"yielded":[156],"better":[157],"accuracy":[158],"and":[159,189],"than":[162],"state-of-the-art":[163],"classifiers":[164],"extraction.":[169],"tested":[171],"also":[173],"improved":[174],"runtime,":[177],"result":[180],"joint":[183],"optimization":[184],"both":[186],"classification.":[190]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2625817666","counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":3}],"updated_date":"2024-12-13T07:33:19.908859","created_date":"2017-06-23"}