{"id":"https://openalex.org/W2978459457","doi":"https://doi.org/10.1109/ijcnn.2019.8852236","title":"A Method based on Convolutional Neural Networks for Fingerprint Segmentation","display_name":"A Method based on Convolutional Neural Networks for Fingerprint Segmentation","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978459457","doi":"https://doi.org/10.1109/ijcnn.2019.8852236","mag":"2978459457"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5030350071","display_name":"Paulo Bruno S. Serafim","orcid":"https://orcid.org/0000-0002-5980-8149"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paulo Bruno S. Serafim","raw_affiliation_strings":["Group of Computer Networks, Software Engineering and Systems (GREat)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Group of Computer Networks, Software Engineering and Systems (GREat)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074875886","display_name":"Ald\u00edsio G. Medeiros","orcid":"https://orcid.org/0000-0001-8408-4042"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aldisio G. Medeiros","raw_affiliation_strings":["Group of Computer Networks, Software Engineering and Systems (GREat)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Group of Computer Networks, Software Engineering and Systems (GREat)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089339049","display_name":"Paulo A. L. R\u00eago","orcid":"https://orcid.org/0000-0002-0936-9301"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paulo A. L. Rego","raw_affiliation_strings":["Group of Computer Networks, Software Engineering and Systems (GREat)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Group of Computer Networks, Software Engineering and Systems (GREat)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021788425","display_name":"Jos\u00e9 Gilvan Rodrigues Maia","orcid":"https://orcid.org/0000-0002-2607-2729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose Gilvan R. Maia","raw_affiliation_strings":["Virtual UFC Institute, Cear\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virtual UFC Institute, Cear\u00e1, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008630507","display_name":"Fernando Trinta","orcid":"https://orcid.org/0000-0002-0206-1419"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fernando A. M. Trinta","raw_affiliation_strings":["Group of Computer Networks, Software Engineering and Systems (GREat)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Group of Computer Networks, Software Engineering and Systems (GREat)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105771436","display_name":"Marcio E. F. Maia","orcid":"https://orcid.org/0000-0003-0767-0712"},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcio E. F. Maia","raw_affiliation_strings":["Federal University of Cear\u00e1 (UFC), Cear\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Cear\u00e1 (UFC), Cear\u00e1, Brazil","institution_ids":["https://openalex.org/I243754102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065118727","display_name":"Jos\u00e9 Ant\u00f4nio Fernandes de Mac\u00eado","orcid":"https://orcid.org/0000-0002-0661-2978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose Antonio F. de Macedo","raw_affiliation_strings":["Insight Data Science Lab, Cear\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insight Data Science Lab, Cear\u00e1, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089000017","display_name":"Alo\u00edsio Vieira Lira Neto","orcid":"https://orcid.org/0000-0002-4180-2064"},"institutions":[{"id":"https://openalex.org/I880818075","display_name":"Federal Police of Brazil","ror":"https://ror.org/01hmd1y41","country_code":"BR","type":"government","lineage":["https://openalex.org/I2801200668","https://openalex.org/I4210115982","https://openalex.org/I880818075"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Aloisio V. Lira Neto","raw_affiliation_strings":["Brazilian Federal Highway Police, Cear\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brazilian Federal Highway Police, Cear\u00e1, Brazil","institution_ids":["https://openalex.org/I880818075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0027,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87564672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9976999759674072,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9829000234603882,"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/jaccard-index","display_name":"Jaccard index","score":0.9141521453857422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8166050910949707},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7495241165161133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7270587086677551},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.6751168966293335},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6726983785629272},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6227701306343079},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5984082221984863},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5734111070632935},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5093337297439575},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4971764385700226},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.49592360854148865},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.4628075957298279},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4485357403755188},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43259117007255554},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4265609383583069},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.4184425473213196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16305360198020935}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.9141521453857422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8166050910949707},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7495241165161133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7270587086677551},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.6751168966293335},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6726983785629272},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6227701306343079},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5984082221984863},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5734111070632935},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5093337297439575},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4971764385700226},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.49592360854148865},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.4628075957298279},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4485357403755188},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43259117007255554},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4265609383583069},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.4184425473213196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16305360198020935},{"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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W5237463","https://openalex.org/W1563923217","https://openalex.org/W1569096659","https://openalex.org/W1665214252","https://openalex.org/W1853627316","https://openalex.org/W1858303756","https://openalex.org/W1987869189","https://openalex.org/W2071203477","https://openalex.org/W2080025494","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2118498934","https://openalex.org/W2133059825","https://openalex.org/W2142481374","https://openalex.org/W2163605009","https://openalex.org/W2265648421","https://openalex.org/W2308071406","https://openalex.org/W2557173717","https://openalex.org/W2577570095","https://openalex.org/W2618897185","https://openalex.org/W2736053388","https://openalex.org/W2740665365","https://openalex.org/W2741315186","https://openalex.org/W2786948944","https://openalex.org/W2811136374","https://openalex.org/W2898196560","https://openalex.org/W3103617649","https://openalex.org/W4285719527","https://openalex.org/W6637242042","https://openalex.org/W6684191040","https://openalex.org/W6698240980","https://openalex.org/W6738511244","https://openalex.org/W6741993272"],"related_works":["https://openalex.org/W2953570019","https://openalex.org/W3012828488","https://openalex.org/W3116883888","https://openalex.org/W4367019122","https://openalex.org/W3161021928","https://openalex.org/W4287631720","https://openalex.org/W4280645644","https://openalex.org/W2766422710","https://openalex.org/W3093926553","https://openalex.org/W4380986815"],"abstract_inverted_index":{"In":[0,15,31,76],"forensic":[1],"science,":[2],"the":[3,10,16,19,26,43,46,51,55,69,73,87,112,130,146,162],"resolution":[4],"of":[5,12,21,28,45,48,57,61,84,86,89,111,118,145,164],"crimes":[6],"is":[7,42],"associated":[8],"with":[9,166],"identification":[11,27],"those":[13],"involved.":[14],"civil":[17],"context,":[18],"security":[20],"automated":[22],"processes":[23],"depends":[24],"on":[25,92,173],"authorized":[29],"people.":[30],"this":[32,77,79],"sense,":[33],"fingerprint-based":[34],"recognition":[35],"techniques":[36,142],"stand":[37],"out.":[38],"A":[39],"fundamental":[40],"stage":[41],"calculation":[44],"degree":[47],"similarity":[49,115],"between":[50],"samples":[52],"presented,":[53],"so":[54],"task":[56],"identifying":[58],"a":[59,82],"region":[60,88,163],"interest":[62,90,165],"(ROI),":[63],"excluding":[64],"noisy":[65],"regions,":[66],"can":[67],"improve":[68],"precision":[70],"and":[71,124,148],"reduce":[72],"computational":[74],"cost.":[75],"aspect,":[78],"work":[80],"presents":[81],"technique":[83],"segmentation":[85,141],"based":[91,172],"convolutional":[93],"neural":[94],"networks":[95],"(CNN)":[96],"without":[97],"pre-processing":[98],"steps.":[99],"The":[100,133],"new":[101],"approach":[102],"was":[103,137],"evaluated":[104],"in":[105,170],"two":[106],"different":[107],"architectures":[108],"from":[109,143],"state":[110,144],"art,":[113],"presenting":[114,157],"indexes":[116],"Distance":[117],"Hausdorff":[119],"(5.92),":[120],"Dice":[121],"coefficient":[122],"(97.28%)":[123],"Jaccard":[125],"Similarity":[126],"(96.77%)":[127],"superior":[128],"to":[129,160],"classic":[131],"methods.":[132],"error":[134],"rate":[135],"(3.22%)":[136],"better":[138,150],"than":[139,152],"five":[140],"art":[147],"showed":[149],"results":[151,159],"another":[153],"deep":[154],"learning":[155],"approach,":[156],"promising":[158],"identify":[161],"potential":[167],"for":[168],"application":[169],"systems":[171],"biometric":[174],"identification.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}