{"id":"https://openalex.org/W2547938567","doi":"https://doi.org/10.1109/wifs.2015.7368570","title":"Which dataset is this iris image from?","display_name":"Which dataset is this iris image from?","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2547938567","doi":"https://doi.org/10.1109/wifs.2015.7368570","mag":"2547938567"},"language":"en","primary_location":{"id":"doi:10.1109/wifs.2015.7368570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2015.7368570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Workshop on Information Forensics and Security (WIFS)","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/A5046693472","display_name":"Susan El-Naggar","orcid":"https://orcid.org/0000-0001-9779-684X"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Susan El-Naggar","raw_affiliation_strings":["West Virginia University"],"affiliations":[{"raw_affiliation_string":"West Virginia University","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061834795","display_name":"Arun Ross","orcid":"https://orcid.org/0000-0001-8850-3013"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arun Ross","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046693472"],"corresponding_institution_ids":["https://openalex.org/I12097938"],"apc_list":null,"apc_paid":null,"fwci":1.723,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86105766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"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/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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":0.9998999834060669,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9768000245094299,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9397000074386597,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8177379965782166},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7106066942214966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7058723568916321},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.6796776056289673},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5391521453857422},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5290428996086121},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.518661618232727},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5056507587432861},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48189598321914673},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.4695209860801697},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42652150988578796},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4175277352333069},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36367183923721313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.103142648935318},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0783650279045105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8177379965782166},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7106066942214966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7058723568916321},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.6796776056289673},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5391521453857422},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5290428996086121},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.518661618232727},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5056507587432861},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48189598321914673},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.4695209860801697},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42652150988578796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4175277352333069},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36367183923721313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.103142648935318},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0783650279045105},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wifs.2015.7368570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2015.7368570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1936860008","https://openalex.org/W1974821667","https://openalex.org/W2001412060","https://openalex.org/W2031342017","https://openalex.org/W2054714865","https://openalex.org/W2060161750","https://openalex.org/W2107971353","https://openalex.org/W2140959843","https://openalex.org/W2152482663","https://openalex.org/W2161087606"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W2759939383","https://openalex.org/W2294693339","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2952386695","https://openalex.org/W2557390811","https://openalex.org/W3133795085"],"abstract_inverted_index":{"The":[0],"performance":[1,28,119],"of":[2,29,35,59,86,174,206],"a":[3,96,150,163,172,185,195,204],"biometric":[4],"recognition":[5],"algorithm":[6],"is":[7,22,156,201],"often":[8],"evaluated":[9],"by":[10,64],"testing":[11],"it":[12],"on":[13,99,203],"standard":[14],"datasets.":[15],"This":[16],"process,":[17,89],"known":[18],"as":[19,40,73],"technology":[20],"evaluation,":[21],"necessary":[23],"to":[24,68,129,138,157,161,188],"compare":[25],"the":[26,33,65,87,100,118,142,154,159,190],"matching":[27],"different":[30,107,111,211,216],"algorithms.":[31],"In":[32,122],"case":[34],"iris":[36,55,104,166,181,192],"recognition,":[37],"datasets":[38,61,108,212],"such":[39,72,132],"ICE,":[41],"MBGC,":[42],"CASIA,":[43],"NICE,":[44],"WVU,":[45],"UBIRIS,":[46],"etc.":[47,90],"have":[48],"been":[49],"used":[50,67],"for":[51],"this":[52,123,146],"purpose.":[53],"However,":[54],"images":[56,105,208],"in":[57,106,141],"each":[58],"these":[60],"are":[62,91,135],"impacted":[63],"methodology":[66],"collect":[69],"them.":[70],"Factors":[71],"external":[74],"lighting,":[75],"sensor":[76],"characteristics,":[77],"acquisition":[78],"protocol,":[79],"subject":[80],"composition,":[81],"data":[82],"collection":[83,88],"environment,":[84],"nuances":[85],"dataset-specific":[92,133],"and":[93,176],"they":[94],"leave":[95],"digital":[97],"'imprint'":[98],"associated":[101],"data.":[102],"Therefore,":[103],"may":[109],"exhibit":[110],"intricate":[112],"characteristics":[113],"that":[114],"can":[115],"potentially":[116],"impact":[117],"assessment":[120],"process.":[121],"work,":[124],"we":[125,148,183],"conduct":[126],"an":[127,180],"experiment":[128],"determine":[130,158],"if":[131],"attributes":[134],"significant":[136],"enough":[137],"be":[139],"detected":[140],"collected":[143,213],"images.":[144],"To":[145],"end":[147],"formulate":[149],"classification":[151],"problem":[152],"where":[153],"goal":[155],"dataset":[160],"which":[162],"given":[164],"input":[165,191],"image":[167,193],"belongs":[168],"to.":[169],"By":[170],"extracting":[171],"set":[173,205],"statistical":[175],"Gabor-based":[177],"features":[178],"from":[179,209],"image,":[182],"use":[184],"learning-based":[186],"scheme":[187],"associate":[189],"with":[194],"specific":[196],"database.":[197],"A":[198],"83%":[199],"accuracy":[200],"obtained":[202],"1536":[207],"8":[210],"using":[214],"6":[215],"sensors.":[217]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}