{"id":"https://openalex.org/W3214535474","doi":"https://doi.org/10.23919/mipro52101.2021.9597100","title":"Automatic Latent Fingerprint Segmentation Using Convolutional Neural Networks","display_name":"Automatic Latent Fingerprint Segmentation Using Convolutional Neural Networks","publication_year":2021,"publication_date":"2021-09-27","ids":{"openalex":"https://openalex.org/W3214535474","doi":"https://doi.org/10.23919/mipro52101.2021.9597100","mag":"3214535474"},"language":"en","primary_location":{"id":"doi:10.23919/mipro52101.2021.9597100","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro52101.2021.9597100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)","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/A5001044402","display_name":"Leon Premk","orcid":null},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"L. Premk","raw_affiliation_strings":["Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008809776","display_name":"\u017diga Emer\u0161i\u010d","orcid":"https://orcid.org/0000-0002-3726-9404"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Z. Emersic","raw_affiliation_strings":["Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083526766","display_name":"Tim Oblak","orcid":"https://orcid.org/0000-0003-1528-4790"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"T. Oblak","raw_affiliation_strings":["Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1544,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47238401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1010","last_page":"1014"},"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9914000034332275,"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/T10751","display_name":"Forensic and Genetic Research","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/computer-science","display_name":"Computer science","score":0.8069238066673279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7778177261352539},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7407132387161255},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7106369137763977},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.7101032137870789},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6397641897201538},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5438092947006226},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5135324597358704},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5005636215209961},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4106155037879944},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3577537536621094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069238066673279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7778177261352539},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7407132387161255},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7106369137763977},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7101032137870789},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6397641897201538},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5438092947006226},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5135324597358704},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5005636215209961},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4106155037879944},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3577537536621094},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mipro52101.2021.9597100","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro52101.2021.9597100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1559248272","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1974588518","https://openalex.org/W1980819045","https://openalex.org/W2012560372","https://openalex.org/W2037227137","https://openalex.org/W2097117768","https://openalex.org/W2204246049","https://openalex.org/W2512348867","https://openalex.org/W2560023338","https://openalex.org/W2618530766","https://openalex.org/W2741315186","https://openalex.org/W2786242895","https://openalex.org/W2892151491","https://openalex.org/W2912327653","https://openalex.org/W2962835968","https://openalex.org/W2963881378","https://openalex.org/W6639824700","https://openalex.org/W6725605968"],"related_works":["https://openalex.org/W4233349824","https://openalex.org/W3014822659","https://openalex.org/W2117826006","https://openalex.org/W4362496757","https://openalex.org/W2051501574","https://openalex.org/W2124627279","https://openalex.org/W2050967184","https://openalex.org/W2566091814","https://openalex.org/W2114937328","https://openalex.org/W4200422973"],"abstract_inverted_index":{"Within":[0],"the":[1,9,25,64,69,73,87,113,122,139],"field":[2],"of":[3,55,75,86,145],"biometrics,":[4],"fingerprint":[5,106,126],"recognition":[6],"is":[7,34,61],"among":[8],"most":[10,88],"popular":[11,89],"approaches":[12],"for":[13,37,77,92,124],"automatic":[14],"human":[15],"identification.":[16],"In":[17,80],"order":[18],"to":[19,29,62,103,137,163,169],"successfully":[20],"recognize":[21],"individuals":[22],"using":[23],"fingerprints,":[24,39],"biometric":[26],"samples":[27],"need":[28],"be":[30],"prepared":[31],"first.":[32],"This":[33],"particularly":[35],"important":[36],"latent":[38,105,125],"which":[40],"are":[41,135],"captured":[42],"in":[43,143],"unconstrained":[44],"environments,":[45],"e.g.,":[46],"crime":[47],"scenes,":[48],"and":[49,71,100,117,150],"usually":[50],"contain":[51],"a":[52],"significant":[53],"amount":[54],"background":[56,70],"noise.":[57],"The":[58],"first":[59],"step":[60],"segment":[63],"friction":[65],"ridge":[66],"impression":[67],"from":[68],"determine":[72],"region":[74],"interest":[76],"further":[78],"processing.":[79],"this":[81],"paper":[82],"we":[83],"compare":[84,118],"some":[85],"state-of-the-art":[90,123],"methods":[91],"semantic":[93],"image":[94],"segmentation":[95],"(FCN,":[96],"UNet,":[97],"SegNet,":[98],"PSPNet)":[99],"use":[101],"them":[102],"tackle":[104],"segmentation.":[107],"We":[108,129],"evaluate":[109],"trained":[110],"models":[111],"on":[112],"IIITD":[114],"MSLFD":[115],"dataset":[116],"our":[119],"results":[120],"against":[121],"segmentation,":[127],"SegFinNet.":[128],"show":[130],"that":[131],"unmodified":[132],"generic":[133],"architectures":[134],"able":[136],"match":[138],"more":[140],"complex":[141],"SegFinNet":[142],"terms":[144],"false":[146],"detection":[147],"rate":[148],"(FDR)":[149],"intersection":[151],"over":[152],"union":[153],"(IoU),":[154],"with":[155],"greatly":[156],"improved":[157],"computational":[158],"speed,":[159],"reducing":[160],"time":[161],"required":[162],"process":[164],"single":[165],"batch":[166],"by":[167],"up":[168],"four":[170],"times.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}