{"id":"https://openalex.org/W7164889099","doi":"https://doi.org/10.1109/iwbf68042.2026.11558141","title":"Image Quality Assessment of Identity Cards Using Measures from Open Face Image Quality","display_name":"Image Quality Assessment of Identity Cards Using Measures from Open Face Image Quality","publication_year":2026,"publication_date":"2026-04-23","ids":{"openalex":"https://openalex.org/W7164889099","doi":"https://doi.org/10.1109/iwbf68042.2026.11558141"},"language":null,"primary_location":{"id":"doi:10.1109/iwbf68042.2026.11558141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbf68042.2026.11558141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 14th International Workshop on Biometrics and Forensics (IWBF)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2606.11884","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138503208","display_name":"Gregor Grote","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gregor Grote","raw_affiliation_strings":["da/sec - Biometrics and cybersecurity research group Darmstadt University of applied science,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"da/sec - Biometrics and cybersecurity research group Darmstadt University of applied science,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017736954","display_name":"Juan Tapia","orcid":"https://orcid.org/0000-0001-9159-4075"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Juan E. Tapia","raw_affiliation_strings":["da/sec - Biometrics and cybersecurity research group Darmstadt University of applied science,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"da/sec - Biometrics and cybersecurity research group Darmstadt University of applied science,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5138740399","display_name":"Christian Rathgeb","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Rathgeb","raw_affiliation_strings":["da/sec - Biometrics and cybersecurity research group Darmstadt University of applied science,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"da/sec - Biometrics and cybersecurity research group Darmstadt University of applied science,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.88491228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10828","display_name":"Biometric Identification and Security","score":0.1738000065088272,"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":0.1738000065088272,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.1242000013589859,"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":0.052000001072883606,"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/image-quality","display_name":"Image quality","score":0.4875999987125397},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.483599990606308},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4830000102519989},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46880000829696655},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.45669999718666077},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.4426000118255615},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.40059998631477356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5909000039100647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5701000094413757},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5447999835014343},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4875999987125397},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.483599990606308},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4830000102519989},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46880000829696655},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.45669999718666077},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4426000118255615},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.40059998631477356},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.328900009393692},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.25}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwbf68042.2026.11558141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbf68042.2026.11558141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 14th International Workshop on Biometrics and Forensics (IWBF)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2606.11884","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.11884","pdf_url":"https://arxiv.org/pdf/2606.11884","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2606.11884","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.11884","pdf_url":"https://arxiv.org/pdf/2606.11884","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.40927833318710327,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7164889099.pdf","grobid_xml":"https://content.openalex.org/works/W7164889099.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,22,55,65],"challenge":[4],"of":[5,57,67],"assessing":[6],"image":[7],"quality":[8,19,50,100],"in":[9,12],"ID":[10,30,77,94],"cards":[11],"remote":[13],"verification":[14],"systems":[15],"by":[16,60],"applying":[17],"capture-related":[18],"measures":[20,59,106],"from":[21],"Open":[23],"Face":[24],"Image":[25],"Quality":[26],"(OFIQ)":[27],"standard":[28],"to":[29,45],"card":[31,78],"images.":[32],"Our":[33,96],"preprocessing":[34],"pipeline":[35],"includes":[36],"corner":[37],"detection,":[38],"perspective":[39],"normalization,":[40],"and":[41,48,89],"comprehensive":[42],"foreground":[43],"masking":[44],"ensure":[46],"accurate":[47],"unbiased":[49],"measure":[51],"computation.":[52],"We":[53],"evaluate":[54],"effectiveness":[56],"these":[58],"analyzing":[61],"their":[62],"correlation":[63],"with":[64],"performance":[66],"three":[68],"presentation":[69],"attack":[70],"detection":[71],"(PAD)":[72],"algorithms":[73],"across":[74],"four":[75],"diverse":[76],"datasets,":[79],"where":[80],"two":[81,90],"datasets":[82],"contain":[83,91],"bona":[84],"fide,":[85],"i.e.":[86],"pristine,":[87],"images":[88],"printed":[92],"mock":[93],"cards.":[95],"results":[97],"suggest":[98],"that":[99],"assessment":[101],"based":[102],"on":[103],"some":[104],"OFIQ":[105],"can":[107],"significantly":[108],"improve":[109],"PAD":[110],"performance.":[111]},"counts_by_year":[],"updated_date":"2026-06-27T08:28:00.272161","created_date":"2026-06-17T00:00:00"}
