{"id":"https://openalex.org/W4389777389","doi":"https://doi.org/10.1109/biosig58226.2023.10345988","title":"Unified Face Image Quality Score Based on ISOIEC Quality Components","display_name":"Unified Face Image Quality Score Based on ISOIEC Quality Components","publication_year":2023,"publication_date":"2023-09-20","ids":{"openalex":"https://openalex.org/W4389777389","doi":"https://doi.org/10.1109/biosig58226.2023.10345988"},"language":"en","primary_location":{"id":"doi:10.1109/biosig58226.2023.10345988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig58226.2023.10345988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/BIOSIG58226.2023.10345988","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028144905","display_name":"Praveen Kumar Chandaliya","orcid":"https://orcid.org/0000-0003-3229-2637"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Praveen Kumar Chandaliya","raw_affiliation_strings":["Norwegian University of Science and Technology (NTNU),Gjøvik,Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology (NTNU),Gjøvik,Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089066381","display_name":"Kiran Raja","orcid":"https://orcid.org/0000-0002-9489-5161"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Kiran Raja","raw_affiliation_strings":["Norwegian University of Science and Technology (NTNU),Gjøvik,Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology (NTNU),Gjøvik,Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073391891","display_name":"Raghavendra Ramachandra","orcid":"https://orcid.org/0000-0003-0484-3956"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Raghavendra Ramachandra","raw_affiliation_strings":["Norwegian University of Science and Technology (NTNU),Gjøvik,Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology (NTNU),Gjøvik,Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017716310","display_name":"Christoph Busch","orcid":"https://orcid.org/0000-0002-9159-2923"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Christoph Busch","raw_affiliation_strings":["Norwegian University of Science and Technology (NTNU),Gjøvik,Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology (NTNU),Gjøvik,Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028144905"],"corresponding_institution_ids":["https://openalex.org/I204778367"],"apc_list":null,"apc_paid":null,"fwci":0.6141,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70697311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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/T10828","display_name":"Biometric Identification and Security","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.7425929307937622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6064577102661133},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5962885022163391},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.5898483395576477},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5764656066894531},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.553804337978363},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5462898015975952},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5378654599189758},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5189116597175598},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4816354811191559},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47517555952072144},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4563099145889282},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4528232514858246},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4444432556629181},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4274347722530365},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38300737738609314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36850112676620483}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425929307937622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6064577102661133},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5962885022163391},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.5898483395576477},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5764656066894531},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.553804337978363},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5462898015975952},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5378654599189758},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5189116597175598},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4816354811191559},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47517555952072144},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4563099145889282},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4528232514858246},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4444432556629181},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4274347722530365},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38300737738609314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36850112676620483},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/biosig58226.2023.10345988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig58226.2023.10345988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:14704869","is_oa":true,"landing_page_url":"https://doi.org/10.1109/BIOSIG58226.2023.10345988","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceProceedings"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:14704869","is_oa":true,"landing_page_url":"https://doi.org/10.1109/BIOSIG58226.2023.10345988","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceProceedings"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1997011019","https://openalex.org/W2048937309","https://openalex.org/W2056451974","https://openalex.org/W2096733369","https://openalex.org/W2182250392","https://openalex.org/W2620158569","https://openalex.org/W2766522240","https://openalex.org/W2969985801","https://openalex.org/W2978658471","https://openalex.org/W2984006054","https://openalex.org/W3034552680","https://openalex.org/W3035739915","https://openalex.org/W3169129566","https://openalex.org/W3194367448","https://openalex.org/W3199528201","https://openalex.org/W3210443877","https://openalex.org/W4205221484","https://openalex.org/W4214852033","https://openalex.org/W4323781387","https://openalex.org/W4386066208","https://openalex.org/W4389105023","https://openalex.org/W4389777195","https://openalex.org/W6784355087"],"related_works":["https://openalex.org/W3194862240","https://openalex.org/W2782916784","https://openalex.org/W4206325381","https://openalex.org/W2043597472","https://openalex.org/W2295706819","https://openalex.org/W4226186675","https://openalex.org/W54224318","https://openalex.org/W2552902349","https://openalex.org/W2061912243","https://openalex.org/W2104070163"],"abstract_inverted_index":{"Faceimage":[0],"quality":[1,22,55,100,116,143,155],"assessment":[2,144],"is":[3,75],"a":[4,49,94,123,195],"crucial":[5],"task":[6],"in":[7,17,36,58,189,201,208],"the":[8,18,27,64,99,102,138,164,168,186,202],"face":[9,15,32,133,141,205],"enrolment":[10,103,207],"process":[11],"to":[12],"obtain":[13],"high-quality":[14],"images":[16],"reference":[19],"database.":[20],"Neglecting":[21],"control":[23],"will":[24],"adversely":[25],"impact":[26],"accuracy":[28],"and":[29,62,81,172],"efficiency":[30],"of":[31,52,67,101,114,163,185,204],"recognition":[33,134],"systems,":[34],"resulting":[35],"an":[37,111,160],"image":[38,142,206],"captured":[39],"with":[40],"poor":[41],"perceptual":[42],"quality.":[43],"In":[44],"this":[45,107],"work,":[46],"we":[47,109],"present":[48],"holistic":[50],"combination":[51],"21":[53],"component":[54,91,192],"measures":[56,69,80],"proposed":[57,129,165,187],"\u201cISO/IEC":[59],"CD":[60],"29794-5\u201d":[61],"identify":[63],"varying":[65],"nature":[66],"different":[68,71,178],"across":[70,78],"datasets.":[72],"The":[73,128,180],"variance":[74],"seen":[76],"both":[77],"capture-related":[79],"subject-related":[82],"measures,":[83],"which":[84],"can":[85],"be":[86],"tedious":[87],"for":[88,131,198],"validating":[89],"each":[90],"metric":[92],"by":[93,106],"human":[95],"observer":[96],"when":[97],"judging":[98],"image.":[104],"Motivated":[105],"observation,":[108],"propose":[110],"efficient":[112],"method":[113],"combining":[115,190],"components":[117],"into":[118,194],"one":[119],"unified":[120,140,196],"score":[121,146,197],"using":[122,150,167,176],"simple":[124],"supervised":[125],"learning":[126],"approach.":[127],"approach":[130,166,188],"predicting":[132],"performance":[135],"based":[136],"on":[137],"obtained":[139],"(FIQA)":[145],"was":[147],"comprehensively":[148],"evaluated":[149],"three":[151],"datasets":[152],"representing":[153],"diverse":[154],"factors.":[156],"We":[157],"further":[158],"provide":[159],"extensive":[161],"evaluation":[162,181],"Error-vs-Discard":[169],"Characteristic":[170],"(EDC)":[171],"show":[173],"its":[174],"applicability":[175],"five":[177],"FRS.":[179,209],"indicates":[182],"promising":[183],"results":[184],"multiple":[191],"scores":[193],"wider":[199],"application":[200],"context":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}