{"id":"https://openalex.org/W2099391992","doi":"https://doi.org/10.1109/cvprw.2011.5981883","title":"Face recognizability evaluation for ATM applications with exceptional occlusion handling","display_name":"Face recognizability evaluation for ATM applications with exceptional occlusion handling","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2099391992","doi":"https://doi.org/10.1109/cvprw.2011.5981883","mag":"2099391992"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2011.5981883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","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/A5077581741","display_name":"Sungmin Eum","orcid":"https://orcid.org/0000-0002-0767-0395"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sungmin Eum","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, South Korea","School of Electrical & Electronic Engineering, Yonsei University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Yonsei University, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061630477","display_name":"Jae Kyu Suhr","orcid":"https://orcid.org/0000-0003-4844-851X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Kyu Suhr","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, South Korea","School of Electrical & Electronic Engineering, Yonsei University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Yonsei University, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069195373","display_name":"Jaihie Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaihie Kim","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, South Korea","School of Electrical & Electronic Engineering, Yonsei University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Yonsei University, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077581741"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.6125,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.67183445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9994999766349792,"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":0.9994999766349792,"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/T11448","display_name":"Face recognition and analysis","score":0.9994000196456909,"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":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.8662234544754028},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6300002336502075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6205446124076843},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6016998291015625},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5551024675369263},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5007553100585938},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.44000276923179626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35434162616729736},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08432281017303467},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.0634261965751648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8662234544754028},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6300002336502075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6205446124076843},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6016998291015625},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5551024675369263},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5007553100585938},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.44000276923179626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35434162616729736},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08432281017303467},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0634261965751648},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2011.5981883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W17841768","https://openalex.org/W1534921592","https://openalex.org/W1540804449","https://openalex.org/W1541074898","https://openalex.org/W1591385104","https://openalex.org/W1599161353","https://openalex.org/W1981137285","https://openalex.org/W1994788809","https://openalex.org/W2005555712","https://openalex.org/W2020447345","https://openalex.org/W2078088780","https://openalex.org/W2090236602","https://openalex.org/W2096027770","https://openalex.org/W2100729078","https://openalex.org/W2104577112","https://openalex.org/W2137045982","https://openalex.org/W2143998680","https://openalex.org/W2154691736","https://openalex.org/W2164598857","https://openalex.org/W2532772104","https://openalex.org/W2739698496","https://openalex.org/W2994340921","https://openalex.org/W3097096317","https://openalex.org/W4234300888","https://openalex.org/W6631798990","https://openalex.org/W6635552349","https://openalex.org/W6651700752","https://openalex.org/W6680525263"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W2062586268","https://openalex.org/W2116423617","https://openalex.org/W2347824352","https://openalex.org/W2112875849","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Biometrics":[0],"has":[1],"been":[2],"extensively":[3],"utilized":[4],"to":[5,18,35,131,163],"lessen":[6],"the":[7,12,20,24,39,76,80,86,89,93,109,115,133,136,140,144,159,178,192,195,200],"ATM-related":[8],"crimes.":[9],"One":[10],"of":[11,23,75,92,135,194],"most":[13,145],"widely":[14],"used":[15],"methods":[16],"is":[17,33],"capture":[19],"facial":[21,43,77,96,124],"images":[22],"users":[25,160],"for":[26,55],"follow-up":[27],"criminal":[28],"investigations.":[29],"However,":[30],"this":[31,47,49,120],"method":[32,54,66,142,174],"vulnerable":[34],"attacks":[36],"made":[37],"by":[38,85,153,177],"criminals":[40],"with":[41,59,186,199],"heavy":[42],"occlusions.":[44,97],"To":[45,138],"overcome":[46],"drawback,":[48],"paper":[50],"proposes":[51],"a":[52,68],"novel":[53],"face":[56,196],"recognizability":[57,69,197],"evaluation":[58,70,198],"exceptional":[60],"occlusion":[61],"handling":[62],"(EOH).":[63],"The":[64,98,172,189],"proposed":[65,141,173],"conducts":[67],"based":[71],"on":[72],"local":[73],"regions":[74],"components.":[78],"Subsequently,":[79],"resulting":[81],"decisions":[82],"are":[83,129],"reaffirmed":[84],"EOH":[87,99,201],"exploiting":[88],"global":[90],"aspect":[91],"frequently":[94],"occurring":[95],"can":[100],"be":[101],"divided":[102],"into":[103],"two":[104,122],"separate":[105],"approaches:":[106],"1)":[107],"accepting":[108],"falsely":[110,116],"rejected":[111],"cases,":[112],"2)":[113],"rejecting":[114],"accepted":[117],"cases.":[118],"In":[119],"paper,":[121],"typical":[123],"occlusions,":[125],"eyeglasses":[126],"and":[127],"sunglasses,":[128],"chosen":[130],"prove":[132],"validity":[134],"EOH.":[137],"evaluate":[139],"in":[143,169,202],"realistic":[146],"environment,":[147],"an":[148,155],"ATM":[149,157,179,204],"database":[150,180],"was":[151,175],"constructed":[152],"using":[154],"off-the-shelf":[156],"while":[158],"were":[161],"asked":[162],"make":[164],"withdrawals":[165],"as":[166],"they":[167],"would":[168],"real":[170],"situations.":[171],"evaluated":[176],"which":[181],"includes":[182],"480":[183],"video":[184],"sequences":[185],"20":[187],"subjects.":[188],"results":[190],"showed":[191],"feasibility":[193],"practical":[203],"environments.":[205]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}