{"id":"https://openalex.org/W3202250944","doi":"https://doi.org/10.1109/biosig52210.2021.9548315","title":"Influence of Test Protocols on Biometric Recognition Performance Estimation","display_name":"Influence of Test Protocols on Biometric Recognition Performance Estimation","publication_year":2021,"publication_date":"2021-09-01","ids":{"openalex":"https://openalex.org/W3202250944","doi":"https://doi.org/10.1109/biosig52210.2021.9548315","mag":"3202250944"},"language":"en","primary_location":{"id":"doi:10.1109/biosig52210.2021.9548315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig52210.2021.9548315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference of the Biometrics Special Interest Group (BIOSIG)","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/A5019868760","display_name":"Teodors Egl\u012btis","orcid":"https://orcid.org/0000-0003-4950-2477"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Teodors Eglitis","raw_affiliation_strings":["Roma Tre University,Department of Industrial, Electronic, and Mechanical Engineering,Rome,Italy,00146"],"affiliations":[{"raw_affiliation_string":"Roma Tre University,Department of Industrial, Electronic, and Mechanical Engineering,Rome,Italy,00146","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035586529","display_name":"Emanuele Maiorana","orcid":"https://orcid.org/0000-0002-4312-6434"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emanuele Maiorana","raw_affiliation_strings":["Roma Tre University,Department of Industrial, Electronic, and Mechanical Engineering,Rome,Italy,00146"],"affiliations":[{"raw_affiliation_string":"Roma Tre University,Department of Industrial, Electronic, and Mechanical Engineering,Rome,Italy,00146","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044915500","display_name":"Patrizio Campisi","orcid":"https://orcid.org/0000-0002-1923-2739"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Patrizio Campisi","raw_affiliation_strings":["Roma Tre University,Department of Industrial, Electronic, and Mechanical Engineering,Rome,Italy,00146"],"affiliations":[{"raw_affiliation_string":"Roma Tre University,Department of Industrial, Electronic, and Mechanical Engineering,Rome,Italy,00146","institution_ids":["https://openalex.org/I119003972"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019868760"],"corresponding_institution_ids":["https://openalex.org/I119003972"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12582826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9847999811172485,"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/biometrics","display_name":"Biometrics","score":0.9136359691619873},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.7379541397094727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6877835988998413},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6128729581832886},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.6100671887397766},{"id":"https://openalex.org/keywords/biometric-data","display_name":"Biometric data","score":0.5717953443527222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4922896921634674},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4821581244468689},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39981600642204285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.376067578792572},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.08235371112823486}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.9136359691619873},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.7379541397094727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6877835988998413},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6128729581832886},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.6100671887397766},{"id":"https://openalex.org/C2989513435","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometric data","level":3,"score":0.5717953443527222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4922896921634674},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4821581244468689},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39981600642204285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.376067578792572},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.08235371112823486},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/biosig52210.2021.9548315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig52210.2021.9548315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma3.it:11590/393256","is_oa":false,"landing_page_url":"http://hdl.handle.net/11590/393256","pdf_url":null,"source":{"id":"https://openalex.org/S4377196120","display_name":"Iris (Roma Tre University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119003972","host_organization_name":"Roma Tre University","host_organization_lineage":["https://openalex.org/I119003972"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1533686608","https://openalex.org/W1576190792","https://openalex.org/W1991620112","https://openalex.org/W2037340447","https://openalex.org/W2085194388","https://openalex.org/W2135864704","https://openalex.org/W2217020959","https://openalex.org/W2565508662","https://openalex.org/W2746769743","https://openalex.org/W2984049105","https://openalex.org/W2988120898","https://openalex.org/W6631994416","https://openalex.org/W6742897359"],"related_works":["https://openalex.org/W2211301776","https://openalex.org/W1995418324","https://openalex.org/W2070951564","https://openalex.org/W2002836168","https://openalex.org/W4235304214","https://openalex.org/W2348616196","https://openalex.org/W2275475525","https://openalex.org/W2060905804","https://openalex.org/W2081577055","https://openalex.org/W4205513058"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2,48,65,68,105],"a":[3,62],"biometric":[4],"system":[5],"is":[6],"commonly":[7],"evaluated":[8],"by":[9,80,111,114],"the":[10,16,19,23,26,35,39,42,45,49,55,66,69,73,77,86,95,103,116],"obtained":[11],"recognition":[12],"rates":[13,109],"and":[14,57],"comparing":[15],"results":[17,92],"against":[18],"ones":[20],"reported":[21],"in":[22,38,94],"literature":[24,40,96],"on":[25,44,72],"same":[27],"database.":[28],"An":[29],"aspect":[30],"that":[31],"has":[32],"not":[33],"received":[34],"deserved":[36],"attention":[37],"concerns":[41],"influence,":[43],"achieved":[46],"rates,":[47],"test":[50,117],"protocol":[51],"employed":[52],"to":[53],"select":[54],"enrol":[56],"probe":[58],"data.":[59],"We":[60,84],"provide":[61],"detailed":[63],"analysis":[64],"impact":[67],"experimental":[70],"choices":[71],"estimated":[74],"performance,":[75],"considering":[76],"recom-mendations":[78],"provided":[79],"ISO/IEC":[81],"19795":[82],"standard.":[83],"use":[85],"UTFVP":[87],"finger":[88],"vein":[89],"database,":[90],"reproducing":[91],"presented":[93],"using":[97],"multiple":[98],"protocols.":[99],"Our":[100],"experiments":[101],"highlight":[102],"possibility":[104],"obtaining":[106],"equal":[107],"error":[108],"reduced":[110],"half":[112],"simply":[113],"changing":[115],"protocol.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-10-11T00:00:00"}