{"id":"https://openalex.org/W2987350713","doi":"https://doi.org/10.1109/ssd.2019.8893238","title":"An efficient method for the extraction of closed and open pores in fingerprint images","display_name":"An efficient method for the extraction of closed and open pores in fingerprint images","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2987350713","doi":"https://doi.org/10.1109/ssd.2019.8893238","mag":"2987350713"},"language":"en","primary_location":{"id":"doi:10.1109/ssd.2019.8893238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2019.8893238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Multi-Conference on Systems, Signals & Devices (SSD)","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/A5003882316","display_name":"Houda Khmila","orcid":"https://orcid.org/0000-0001-9176-1785"},"institutions":[{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Houda Khmila","raw_affiliation_strings":["CEM Laboratory in Control and Energy Management ENIG, University of GABES, Gabes, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEM Laboratory in Control and Energy Management ENIG, University of GABES, Gabes, Tunisia","institution_ids":["https://openalex.org/I68916915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024973351","display_name":"Nadia Smaoui","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Nadia Smaoui","raw_affiliation_strings":["CEM Laboratory in Control and Energy Management ENIS, University of SFAX, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEM Laboratory in Control and Energy Management ENIS, University of SFAX, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011862438","display_name":"Imen Khanfir","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Imen Khanfir","raw_affiliation_strings":["CEM Laboratory in Control and Energy Management ENIS, University of SFAX, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEM Laboratory in Control and Energy Management ENIS, University of SFAX, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110590946","display_name":"Houda Derbel","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Houda Derbel","raw_affiliation_strings":["CEM Laboratory in Control and Energy Management ENIS, University of SFAX, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEM Laboratory in Control and Energy Management ENIS, University of SFAX, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3338,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57623714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10568","issue":null,"first_page":"154","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"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":0.9998000264167786,"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/T13568","display_name":"Wood and Agarwood Research","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.8896920084953308},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8605931997299194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.753366231918335},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6536731123924255},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6368119716644287},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5710666179656982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5255547761917114},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.489866703748703},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4283130168914795},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4227510690689087},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4085080921649933},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4013749957084656},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3614307641983032},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3388518691062927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11478126049041748}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8896920084953308},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8605931997299194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753366231918335},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6536731123924255},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6368119716644287},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5710666179656982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5255547761917114},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.489866703748703},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4283130168914795},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4227510690689087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4085080921649933},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4013749957084656},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3614307641983032},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3388518691062927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11478126049041748},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/ssd.2019.8893238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2019.8893238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Multi-Conference on Systems, Signals & Devices (SSD)","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":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W58721458","https://openalex.org/W1603495404","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1978878675","https://openalex.org/W1993921692","https://openalex.org/W2048425530","https://openalex.org/W2117621861","https://openalex.org/W2117780027","https://openalex.org/W2125785363","https://openalex.org/W2133393105","https://openalex.org/W2138018455","https://openalex.org/W2158359334","https://openalex.org/W2604762485","https://openalex.org/W2765940700","https://openalex.org/W2792913288","https://openalex.org/W3152157565","https://openalex.org/W4230579564","https://openalex.org/W6639824700","https://openalex.org/W6677435864","https://openalex.org/W6680736959","https://openalex.org/W6735951027"],"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":{"Biometrics":[0],"is":[1,21,33,51,108],"a":[2,101,118],"rising":[3],"field":[4],"in":[5,89,110,129,169],"which":[6,42],"technology":[7],"improves":[8],"our":[9,154],"capacity":[10],"to":[11,58,82,98,138,165],"identify":[12],"an":[13,59],"individual.":[14],"Protecting":[15],"consumers":[16],"against":[17],"fraud":[18],"or":[19,47],"theft":[20],"one":[22,84],"of":[23,26,30,66,85,93,104,143],"the":[24,53,63,67,69,77,86,91,140,157,163,166,170],"goals":[25],"biometrics.":[27],"The":[28,49,134],"benefit":[29],"biometric":[31],"authentication":[32],"that":[34,55],"each":[35],"person":[36],"has":[37],"its":[38],"own":[39],"physical":[40],"features":[41,54],"can't":[43],"be":[44,83],"modified,":[45],"robbed":[46],"lost.":[48],"fingerprint":[50,71,95,132],"among":[52],"prove":[56],"unique":[57],"individual,":[60],"especially,":[61],"with":[62],"technological":[64],"advancement":[65],"sensors,":[68],"high-resolution":[70],"images":[72],"are":[73],"growing":[74],"well":[75],"known;":[76],"pores":[78,128,144],"have":[79],"been":[80],"observed":[81],"brilliant":[87],"nominees":[88],"enhancing":[90],"efficiency":[92],"automated":[94],"identification":[96],"systems":[97],"keep":[99],"up":[100],"high":[102,130],"state":[103],"security.":[105],"Our":[106],"work":[107],"presented":[109],"this":[111,115],"context.":[112],"In":[113],"fact,":[114],"paper":[116],"proposes":[117],"new":[119],"method":[120],"based":[121],"on":[122,156],"morphologic":[123],"operations":[124],"aiming":[125],"at":[126],"extracting":[127],"resolution":[131],"images.":[133],"proposed":[135],"approach":[136,155],"consists":[137],"extract":[139],"two":[141,149],"types":[142],"(open":[145],"and":[146,160],"closed)":[147],"by":[148],"different":[150],"methods.":[151],"We":[152],"evaluate":[153],"PolyU-HRF":[158],"database,":[159],"we":[161],"compare":[162],"result":[164],"existing":[167],"methods":[168],"literature.":[171]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}