{"id":"https://openalex.org/W3041594947","doi":"https://doi.org/10.1109/icip40778.2020.9191094","title":"Single Architecture and Multiple task deep Neural Network for Altered Fingerprint Analysis","display_name":"Single Architecture and Multiple task deep Neural Network for Altered Fingerprint Analysis","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3041594947","doi":"https://doi.org/10.1109/icip40778.2020.9191094","mag":"3041594947"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9191094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2007.04931","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014104390","display_name":"Oliver Giudice","orcid":"https://orcid.org/0000-0002-8343-2049"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Oliver Giudice","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Catania, Catania, Italy","University of Catania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Catania, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]},{"raw_affiliation_string":"University of Catania","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019216303","display_name":"Mattia Litrico","orcid":"https://orcid.org/0000-0002-4914-174X"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mattia Litrico","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Catania, Catania, Italy","University of Catania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Catania, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]},{"raw_affiliation_string":"University of Catania","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042746008","display_name":"Sebastiano Battiato","orcid":"https://orcid.org/0000-0001-6127-2470"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiano Battiato","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Catania, Catania, Italy","University of Catania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Catania, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]},{"raw_affiliation_string":"University of Catania","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39063666"],"apc_list":null,"apc_paid":null,"fwci":0.0957,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37881971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"813","last_page":"817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9997000098228455,"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/T10751","display_name":"Forensic and Genetic Research","score":0.9927999973297119,"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"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.7544239163398743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6638278961181641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6553256511688232},{"id":"https://openalex.org/keywords/law-enforcement","display_name":"Law enforcement","score":0.6482317447662354},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6090273857116699},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6073589324951172},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5960308909416199},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5279002785682678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5109619498252869},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4383402168750763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3312479555606842},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13561907410621643},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.1245054304599762},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.1012653112411499},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10071823000907898},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0858406126499176}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7544239163398743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6638278961181641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6553256511688232},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.6482317447662354},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6090273857116699},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6073589324951172},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5960308909416199},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5279002785682678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5109619498252869},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4383402168750763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3312479555606842},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13561907410621643},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.1245054304599762},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1012653112411499},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10071823000907898},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0858406126499176},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icip40778.2020.9191094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2007.04931","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.04931","pdf_url":"https://arxiv.org/pdf/2007.04931","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":null,"raw_type":"text"},{"id":"mag:3041594947","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2007.04931.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.2007.04931","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2007.04931","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":"Preprint"},{"id":"doi:10.17023/bcb1-ft26","is_oa":true,"landing_page_url":"https://doi.org/10.17023/bcb1-ft26","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Audiovisual"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2007.04931","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.04931","pdf_url":"https://arxiv.org/pdf/2007.04931","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":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3041594947.pdf","grobid_xml":"https://content.openalex.org/works/W3041594947.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W205631707","https://openalex.org/W1838616917","https://openalex.org/W1997127867","https://openalex.org/W2011999296","https://openalex.org/W2017764875","https://openalex.org/W2046686077","https://openalex.org/W2165335818","https://openalex.org/W2183341477","https://openalex.org/W2550299492","https://openalex.org/W2554158934","https://openalex.org/W2585842741","https://openalex.org/W2884941392","https://openalex.org/W2893023183","https://openalex.org/W2910505567","https://openalex.org/W2964156524","https://openalex.org/W2998976767","https://openalex.org/W6608357093","https://openalex.org/W6638701298","https://openalex.org/W6753550916"],"related_works":["https://openalex.org/W2103696427","https://openalex.org/W1971842381","https://openalex.org/W2049352663","https://openalex.org/W1496615975","https://openalex.org/W2184635049","https://openalex.org/W2993367337","https://openalex.org/W2790437783","https://openalex.org/W3188934187","https://openalex.org/W1598824222","https://openalex.org/W2746559470","https://openalex.org/W2918506566","https://openalex.org/W3021931631","https://openalex.org/W3025884774","https://openalex.org/W3014806201","https://openalex.org/W3131507766","https://openalex.org/W2808230651","https://openalex.org/W2951081742","https://openalex.org/W3105827609","https://openalex.org/W3129080317","https://openalex.org/W3213304460"],"abstract_inverted_index":{"Fingerprints":[0],"are":[1,17,45,114],"one":[2],"of":[3,25,38,75,79,81,85,99,122,132],"the":[4,39,102,130,141],"most":[5],"copious":[6],"evidence":[7],"in":[8,51,108],"a":[9,59,71,100],"crime":[10],"scene":[11],"and,":[12],"for":[13,23,73,129],"this":[14],"reason,":[15],"they":[16,44],"frequently":[18],"used":[19,47],"by":[20,48],"law":[21,55],"enforcement":[22],"identification":[24,78],"individuals.":[26],"But":[27],"fingerprints":[28],"can":[29],"be":[30],"altered.":[31],"\u201cAltered":[32],"fingerprints\u201d":[33],"refers":[34],"to":[35,53,110],"intentionally":[36],"damage":[37],"friction":[40],"ridge":[41],"pattern":[42],"and":[43,83,88,127,137],"often":[46],"smart":[49],"criminals":[50],"hope":[52],"evade":[54],"enforcement.":[56],"We":[57,90],"use":[58],"deep":[60],"neural":[61,103],"network":[62,104],"approach":[63,118],"training":[64],"an":[65,120],"Inception-v3":[66],"architecture.":[67],"This":[68],"paper":[69],"proposes":[70],"method":[72],"detection":[74],"altered":[76],"fingerprints,":[77],"types":[80],"alterations":[82,113],"recognition":[84],"gender,":[86,135],"hand":[87,136],"fingers.":[89],"also":[91],"produce":[92],"activation":[93],"maps":[94],"that":[95],"show":[96],"which":[97],"part":[98],"fingerprint":[101],"has":[105],"focused":[106],"on,":[107],"order":[109],"detect":[111],"where":[112],"positioned.":[115],"The":[116],"proposed":[117],"achieves":[119],"accuracy":[121],"98.21%,":[123],"98.46%,":[124],"92.52%,":[125],"97.53%":[126],"92,18%":[128],"classification":[131],"fakeness,":[133],"alterations,":[134],"fingers,":[138],"respectively":[139],"on":[140],"SO.CO.FING.":[142],"dataset.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}