{"id":"https://openalex.org/W4403674918","doi":"https://doi.org/10.1109/tim.2024.3485454","title":"HGAIQA: A Novel Hand-Geometry-Aware Image Quality Assessment Framework for Contactless Palmprint Recognition","display_name":"HGAIQA: A Novel Hand-Geometry-Aware Image Quality Assessment Framework for Contactless Palmprint Recognition","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403674918","doi":"https://doi.org/10.1109/tim.2024.3485454"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3485454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3485454","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5020263662","display_name":"Chunsheng Zhang","orcid":"https://orcid.org/0000-0002-6642-8996"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunsheng Zhang","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-6642-8996","affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741493","display_name":"Xu Liang","orcid":"https://orcid.org/0000-0003-4332-3494"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Liang","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-4332-3494","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081068701","display_name":"Dandan Fan","orcid":"https://orcid.org/0000-0003-1168-5095"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Fan","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-1168-5095","affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040991102","display_name":"Junan Chen","orcid":"https://orcid.org/0009-0005-0084-8655"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junan Chen","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0005-0084-8655","affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["Pattern Analysis and Machine Intelligence Group, Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-2497-9519","affiliations":[{"raw_affiliation_string":"Pattern Analysis and Machine Intelligence Group, Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068027800","display_name":"Baoyuan Wu","orcid":"https://orcid.org/0000-0003-2183-5990"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoyuan Wu","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-2183-5990","affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325058","display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-5027-5286"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"David Zhang","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-5027-5286","affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5020263662"],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":1.6441,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85028893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9984999895095825,"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":0.9984999895095825,"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/image-quality","display_name":"Image quality","score":0.5617499351501465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5502554774284363},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5445464253425598},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5374252200126648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5227953791618347},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.4135048985481262},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39882299304008484},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.28178220987319946},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16487514972686768},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.10979527235031128},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.10036575794219971}],"concepts":[{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5617499351501465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5502554774284363},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5445464253425598},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5374252200126648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5227953791618347},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4135048985481262},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39882299304008484},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28178220987319946},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16487514972686768},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.10979527235031128},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.10036575794219971},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3485454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3485454","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5943813557","display_name":null,"funder_award_id":"62076086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6946846995","display_name":null,"funder_award_id":"0028/2023/RIA1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8554603392","display_name":null,"funder_award_id":"62172347","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1413778154","https://openalex.org/W1522384974","https://openalex.org/W1563923217","https://openalex.org/W2001759547","https://openalex.org/W2068424163","https://openalex.org/W2092264651","https://openalex.org/W2107216587","https://openalex.org/W2108729907","https://openalex.org/W2114214092","https://openalex.org/W2129972025","https://openalex.org/W2140959843","https://openalex.org/W2150498808","https://openalex.org/W2160776381","https://openalex.org/W2163870506","https://openalex.org/W2170729118","https://openalex.org/W2366502876","https://openalex.org/W2549744501","https://openalex.org/W2883595631","https://openalex.org/W2900273708","https://openalex.org/W2905631612","https://openalex.org/W2908401002","https://openalex.org/W2963402313","https://openalex.org/W2967716061","https://openalex.org/W3002157766","https://openalex.org/W3003465473","https://openalex.org/W3006276840","https://openalex.org/W3044349844","https://openalex.org/W3080350283","https://openalex.org/W3134362348","https://openalex.org/W3174847300","https://openalex.org/W3193957345","https://openalex.org/W3194214615","https://openalex.org/W4205221484","https://openalex.org/W4210849495","https://openalex.org/W4225113868","https://openalex.org/W4225270294","https://openalex.org/W4237837405","https://openalex.org/W4321488197","https://openalex.org/W4376851402","https://openalex.org/W4381736331","https://openalex.org/W4385945608","https://openalex.org/W4391053018","https://openalex.org/W4396708755","https://openalex.org/W6803650990"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2779427294","https://openalex.org/W2775347418","https://openalex.org/W2625805835","https://openalex.org/W2466958844","https://openalex.org/W1963988314","https://openalex.org/W2804751933","https://openalex.org/W1924500548","https://openalex.org/W2245293081","https://openalex.org/W1973829424"],"abstract_inverted_index":{"Contactless":[0],"palmprint":[1,45,58],"recognition":[2,30,131],"(PPR)":[3],"has":[4],"gained":[5],"traction":[6],"due":[7],"to":[8,28,81],"its":[9],"convenience":[10],"and":[11,21,77,85,98,106,118,130],"hygienic":[12],"benefits.":[13],"However,":[14],"in":[15,139,166],"real-world":[16],"scenarios":[17],"with":[18,126],"complex":[19],"backgrounds":[20],"varying":[22],"hand":[23,74,83],"poses,":[24],"evaluating":[25],"image":[26,46,112],"quality":[27,47,101,113],"enhance":[29],"performance":[31],"remains":[32],"a":[33,41,72,135],"significant":[34],"challenge.":[35],"To":[36],"address":[37],"this,":[38],"we":[39],"propose":[40],"novel":[42],"hand-geometry-aware":[43],"contactless":[44],"assessment":[48],"(HGAIQA)":[49],"framework.":[50],"Unlike":[51],"existing":[52],"methods":[53],"that":[54],"assess":[55],"only":[56],"the":[57,66,91,116,147,152,161],"region":[59,84],"of":[60,121,155,163],"interest":[61],"(ROI),":[62],"our":[63,164],"framework":[64],"evaluates":[65,90],"entire":[67],"image.":[68],"First,":[69],"it":[70,89,110],"employs":[71],"high-resolution":[73],"segmentation":[75],"network":[76],"keypoint":[78],"heatmap":[79],"module":[80],"identify":[82],"joint":[86],"keypoints.":[87],"Second,":[88],"palm\u2019s":[92],"flatness":[93],"based":[94],"on":[95,146],"geometric":[96],"features":[97],"assesses":[99],"additional":[100],"attributes":[102],"such":[103],"as":[104],"brightness":[105],"sharpness.":[107],"At":[108],"last,":[109],"determines":[111],"by":[114,150],"analyzing":[115],"intraclass":[117],"interclass":[119],"distributions":[120],"fused":[122],"multifeatures.":[123],"After":[124],"integrating":[125],"subsequent":[127],"ROI":[128],"localization":[129],"algorithms,":[132],"experiments":[133],"show":[134],"substantial":[136],"21.2%":[137],"reduction":[138],"equal":[140],"error":[141],"rate":[142],"(EER)":[143],"for":[144],"PPR":[145,169],"COEP":[148],"database":[149],"removing":[151],"lowest":[153],"10%":[154],"low-quality":[156],"images.":[157],"These":[158],"results":[159],"demonstrate":[160],"effectiveness":[162],"approach":[165],"significantly":[167],"enhancing":[168],"performance.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
