{"id":"https://openalex.org/W4206741040","doi":"https://doi.org/10.1145/3493700.3493715","title":"IrisIndexNet: Indexing on Iris Databases for Faster Identification","display_name":"IrisIndexNet: Indexing on Iris Databases for Faster Identification","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4206741040","doi":"https://doi.org/10.1145/3493700.3493715"},"language":"en","primary_location":{"id":"doi:10.1145/3493700.3493715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3493700.3493715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Joint International Conference on Data Science &amp; Management of Data (9th ACM IKDD CODS and 27th COMAD)","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/A5074353417","display_name":"Geetika Arora","orcid":"https://orcid.org/0000-0002-3626-6180"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Geetika Arora","raw_affiliation_strings":["Birla Institute of Technology and Science Pilani, IN"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science Pilani, IN","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023454651","display_name":"Shantanu Vichare","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shantanu Vichare","raw_affiliation_strings":["Birla Institute of Technology and Science Pilani, IN"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science Pilani, IN","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074284580","display_name":"Kamlesh Tiwari","orcid":"https://orcid.org/0000-0002-8866-9192"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kamlesh Tiwari","raw_affiliation_strings":["Birla Institute of Technology and Science Pilani, IN"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science Pilani, IN","institution_ids":["https://openalex.org/I74796645"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074353417"],"corresponding_institution_ids":["https://openalex.org/I74796645"],"apc_list":null,"apc_paid":null,"fwci":0.1486,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34788471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"10","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"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":1.0,"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/T10057","display_name":"Face and Expression Recognition","score":0.9825000166893005,"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":0.9764999747276306,"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/search-engine-indexing","display_name":"Search engine indexing","score":0.829037070274353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7554566264152527},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7171488404273987},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.6496113538742065},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5453110337257385},{"id":"https://openalex.org/keywords/database-index","display_name":"Database index","score":0.5231834053993225},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.44021520018577576},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4051041603088379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2819654047489166},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.09661680459976196}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.829037070274353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554566264152527},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7171488404273987},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.6496113538742065},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5453110337257385},{"id":"https://openalex.org/C59276292","wikidata":"https://www.wikidata.org/wiki/Q580427","display_name":"Database index","level":3,"score":0.5231834053993225},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.44021520018577576},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4051041603088379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2819654047489166},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.09661680459976196},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3493700.3493715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3493700.3493715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Joint International Conference on Data Science &amp; Management of Data (9th ACM IKDD CODS and 27th COMAD)","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":26,"referenced_works":["https://openalex.org/W1875842236","https://openalex.org/W1998890624","https://openalex.org/W2005411195","https://openalex.org/W2026547571","https://openalex.org/W2069132825","https://openalex.org/W2076027235","https://openalex.org/W2102796633","https://openalex.org/W2151103935","https://openalex.org/W2154367286","https://openalex.org/W2158703410","https://openalex.org/W2280932954","https://openalex.org/W2538632371","https://openalex.org/W2562755098","https://openalex.org/W2656428161","https://openalex.org/W2742548529","https://openalex.org/W2765685479","https://openalex.org/W2789876780","https://openalex.org/W2801657562","https://openalex.org/W2899191275","https://openalex.org/W2946568082","https://openalex.org/W2963962956","https://openalex.org/W2966523470","https://openalex.org/W2971612532","https://openalex.org/W3015287558","https://openalex.org/W3119763286","https://openalex.org/W4230888393"],"related_works":["https://openalex.org/W2475017321","https://openalex.org/W1873761914","https://openalex.org/W2094492371","https://openalex.org/W1863997242","https://openalex.org/W2154367286","https://openalex.org/W2158269934","https://openalex.org/W2139819703","https://openalex.org/W2464143477","https://openalex.org/W2030827865","https://openalex.org/W4206741040"],"abstract_inverted_index":{"Iris":[0],"is":[1,38,143,151,169,178,242],"one":[2],"of":[3,20,47,139,157,165,179,221,227,237],"the":[4,30,34,45,51,60,65,82,113,118,137,140,146,155,158,170,187,192,232,245,254,260],"most":[5,166],"accurate":[6],"biometric":[7],"traits":[8],"for":[9,81,117,173,263],"human":[10],"authentication":[11],"due":[12],"to":[13,99,130,186,259],"high":[14,109],"reliability,":[15],"uniqueness,":[16],"and":[17,41,93,108,127,149,182,211,229,239,248],"stability.":[18],"Identification":[19],"a":[21,71,87,96,101,194,218,224],"query":[22,141],"iris":[23,83,119,206],"sample":[24],"requires":[25],"its":[26],"comparison":[27],"with":[28,153],"all":[29,154],"templates":[31,48],"stored":[32],"in":[33,50,112,163],"database.":[35,52,66,84],"The":[36,53,214],"process":[37,54],"computationally":[39],"expensive":[40],"becomes":[42],"inefficient":[43],"as":[44,95,184,257],"number":[46],"increase":[49],"can":[55],"be":[56],"fastened":[57],"by":[58],"reducing":[59],"search":[61,79],"space":[62,80,115],"through":[63],"indexing":[64,73],"This":[67],"paper":[68],"proposes":[69],"IrisIndexNet,":[70],"novel":[72],"technique":[74,216,256],"that":[75],"effectively":[76],"reduces":[77],"identification":[78,193],"It":[85],"design":[86],"specialized":[88],"convolutional":[89],"neural":[90],"network":[91,98],"architecture":[92],"train":[94],"Siamese":[97],"construct":[100],"compact":[102],"feature":[103,138],"vectors":[104,162],"having":[105],"low":[106],"inter-class":[107],"intra-class":[110],"similarity":[111],"latent":[114],"representation":[116],"images.":[120],"Features":[121],"are":[122,199,251],"subsequently":[123],"clustered":[124],"using":[125,145,253],"k-means":[126],"agglomerative":[128],"clustering":[129],"generate":[131],"an":[132],"index":[133,159,168],"table.":[134,160],"During":[135],"retrieval,":[136],"image":[142],"extracted":[144],"trained":[147],"network,":[148],"it":[150],"matched":[152],"indices":[156],"Feature":[161],"neighborhood":[164],"similar":[167],"candidate":[171,176],"set":[172,177],"matching.":[174],"Obtained":[175],"fixed":[180],"size":[181],"small":[183],"compared":[185,258],"original":[188],"database":[189],"thereby":[190],"making":[191],"constant":[195],"time":[196],"operation.":[197],"Experiments":[198],"conducted":[200],"on":[201,231],"widely":[202],"used":[203,205],"publically":[204],"databases":[207],"viz.":[208],"CASIA":[209,212,246,249],"Interval":[210,247],"Lamp.":[213],"proposed":[215,255],"achieved":[217,243],"hit":[219],"rate":[220,226],"99%":[222],"at":[223],"penetration":[225],"2.254%":[228],"0.008%":[230],"respective":[233],"databases.":[234],"A":[235],"speedup":[236],"4":[238],"27":[240],"times":[241],"when":[244],"Lamp":[250],"indexed":[252],"naive":[261],"approach":[262],"identification.":[264]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
