{"id":"https://openalex.org/W4404238852","doi":"https://doi.org/10.1109/ijcb62174.2024.10744487","title":"PCR-HIQA: Perceptual Classifiability Ratio for Hand Image Quality Assessment","display_name":"PCR-HIQA: Perceptual Classifiability Ratio for Hand Image Quality Assessment","publication_year":2024,"publication_date":"2024-09-15","ids":{"openalex":"https://openalex.org/W4404238852","doi":"https://doi.org/10.1109/ijcb62174.2024.10744487"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb62174.2024.10744487","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb62174.2024.10744487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5049402182","display_name":"L\u00e1zaro J. Gonz\u00e1lez\u2010Soler","orcid":"https://orcid.org/0000-0001-6470-2966"},"institutions":[{"id":"https://openalex.org/I4210135606","display_name":"National Research Center for Applied Cybersecurity ATHENE","ror":"https://ror.org/0378v2g76","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210135606"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lazaro J. Gonzalez-Soler","raw_affiliation_strings":["Da/Sec - Biometrics and Security Research Group,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Da/Sec - Biometrics and Security Research Group,Darmstadt,Germany","institution_ids":["https://openalex.org/I4210135606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026343644","display_name":"Marcel Grimmer","orcid":"https://orcid.org/0000-0002-8150-9268"},"institutions":[{"id":"https://openalex.org/I4210135606","display_name":"National Research Center for Applied Cybersecurity ATHENE","ror":"https://ror.org/0378v2g76","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210135606"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcel Grimmer","raw_affiliation_strings":["Da/Sec - Biometrics and Security Research Group,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Da/Sec - Biometrics and Security Research Group,Darmstadt,Germany","institution_ids":["https://openalex.org/I4210135606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101732064","display_name":"Daniel Fischer","orcid":"https://orcid.org/0009-0007-7729-7227"},"institutions":[{"id":"https://openalex.org/I4210135606","display_name":"National Research Center for Applied Cybersecurity ATHENE","ror":"https://ror.org/0378v2g76","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210135606"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Fischer","raw_affiliation_strings":["Da/Sec - Biometrics and Security Research Group,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Da/Sec - Biometrics and Security Research Group,Darmstadt,Germany","institution_ids":["https://openalex.org/I4210135606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087866084","display_name":"Christian Rathgeb","orcid":"https://orcid.org/0000-0003-1901-9468"},"institutions":[{"id":"https://openalex.org/I4210135606","display_name":"National Research Center for Applied Cybersecurity ATHENE","ror":"https://ror.org/0378v2g76","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210135606"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Rathgeb","raw_affiliation_strings":["Da/Sec - Biometrics and Security Research Group,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Da/Sec - Biometrics and Security Research Group,Darmstadt,Germany","institution_ids":["https://openalex.org/I4210135606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059872016","display_name":"Christoph Busch","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135606","display_name":"National Research Center for Applied Cybersecurity ATHENE","ror":"https://ror.org/0378v2g76","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210135606"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Busch","raw_affiliation_strings":["Da/Sec - Biometrics and Security Research Group,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Da/Sec - Biometrics and Security Research Group,Darmstadt,Germany","institution_ids":["https://openalex.org/I4210135606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210135606"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3933906,"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":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.767799973487854,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.767799973487854,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7171000242233276,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.714900016784668,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6092669367790222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6004183292388916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5652415752410889},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5591172575950623},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.537074089050293},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5241777300834656},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4531964063644409},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39554041624069214},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14156174659729004}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6092669367790222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6004183292388916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5652415752410889},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5591172575950623},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.537074089050293},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5241777300834656},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4531964063644409},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39554041624069214},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14156174659729004},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb62174.2024.10744487","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb62174.2024.10744487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321147","display_name":"Ministry of Higher Education","ror":"https://ror.org/0512bh102"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1982471090","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2536969421","https://openalex.org/W2620158569","https://openalex.org/W2752782242","https://openalex.org/W2796417745","https://openalex.org/W2962898354","https://openalex.org/W2963446712","https://openalex.org/W2969985801","https://openalex.org/W2982083293","https://openalex.org/W2984006054","https://openalex.org/W3006276840","https://openalex.org/W3035739915","https://openalex.org/W3036954260","https://openalex.org/W3119270235","https://openalex.org/W3138516171","https://openalex.org/W3169129566","https://openalex.org/W3174847300","https://openalex.org/W3175551809","https://openalex.org/W3187306799","https://openalex.org/W3198276219","https://openalex.org/W4210616471","https://openalex.org/W4280496682","https://openalex.org/W4283068058","https://openalex.org/W4295312788","https://openalex.org/W4310353157","https://openalex.org/W4312402191","https://openalex.org/W4385245566","https://openalex.org/W4389105023","https://openalex.org/W4390874575","https://openalex.org/W4392411958","https://openalex.org/W4392822433","https://openalex.org/W4394674255","https://openalex.org/W4402753856","https://openalex.org/W4402916768","https://openalex.org/W6766978945","https://openalex.org/W6784704365","https://openalex.org/W6793164127","https://openalex.org/W6805263175"],"related_works":["https://openalex.org/W2628861693","https://openalex.org/W3203087560","https://openalex.org/W4361279463","https://openalex.org/W4232814730","https://openalex.org/W2975814312","https://openalex.org/W4387697615","https://openalex.org/W2568121504","https://openalex.org/W2483836897","https://openalex.org/W2049668268","https://openalex.org/W3013520998"],"abstract_inverted_index":{"Biometric":[0],"Sample":[1],"Quality":[2,90],"Assessment":[3,91],"(BSQA)":[4],"estimates":[5],"the":[6,9,17,23,31,65,100,104,111,114,121,125,129,139,145,148,152,156,163,172,175],"usefulness":[7],"of":[8,25,67,103,124,155,174],"captured":[10],"image":[11,96],"based":[12],"on":[13,56,162],"its":[14,107,135],"utility":[15],"for":[16,34,87],"recognition":[18],"task.":[19],"In":[20,43],"this":[21],"regard,":[22],"majority":[24],"studies":[26],"have":[27,52],"been":[28],"proposed":[29,176],"in":[30,128],"last":[32],"decade":[33],"computing":[35],"a":[36,48,80],"sample":[37,105,158],"quality":[38,66,72,97],"score":[39],"from":[40,50],"facial":[41],"images.":[42],"particular,":[44],"methods":[45],"that":[46],"learn":[47],"regressor":[49],"pseudo-labels":[51],"obtained":[53],"reliable":[54],"results":[55,161],"various":[57],"benchmarks.":[58],"However,":[59],"they":[60],"fail":[61],"to":[62,134,138,185],"correctly":[63],"estimate":[64],"samples":[68,127],"having":[69],"both,":[70],"low":[71,74],"and":[73],"intra-class":[75],"variability.":[76],"This":[77],"paper":[78],"proposes":[79],"new":[81],"BSQA":[82,177],"approach,":[83],"Perceptual":[84],"Classifiability":[85],"Ratio":[86],"Hand":[88],"Image":[89],"(PCR-HIQA),":[92],"which":[93,179],"computes":[94],"hand":[95,169],"by":[98,119,183],"combining":[99],"relative":[101],"classifiability":[102,115],"with":[106,132],"fidelity-related":[108],"properties.":[109],"On":[110,144],"one":[112],"hand,":[113,147],"ratio":[116],"is":[117],"calculated":[118],"mapping":[120],"feature":[122],"representation":[123],"training":[126],"angular":[130],"space":[131],"respect":[133],"class":[136,142],"centroid":[137],"nearest":[140],"negative":[141],"centroid.":[143],"other":[146],"fidelity":[149],"properties":[150],"encode":[151],"human":[153],"perception":[154],"input":[157],"quality.":[159],"Experimental":[160],"challenging":[164],"HaGRID":[165],"database,":[166],"containing":[167],"different":[168],"gestures,":[170],"underline":[171],"superiority":[173],"method":[178],"outperforms":[180],"state-of-the-art":[181],"techniques":[182],"up":[184],"30%.1":[186]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
