{"id":"https://openalex.org/W2075839548","doi":"https://doi.org/10.1145/1741906.1742029","title":"Algorithm for iris code organization and searching for iris recognition system","display_name":"Algorithm for iris code organization and searching for iris recognition system","publication_year":2010,"publication_date":"2010-02-26","ids":{"openalex":"https://openalex.org/W2075839548","doi":"https://doi.org/10.1145/1741906.1742029","mag":"2075839548"},"language":"en","primary_location":{"id":"doi:10.1145/1741906.1742029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1741906.1742029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference and Workshop on Emerging Trends in Technology","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/A5008658877","display_name":"Pankaj Agarkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"P. M. Agarkar","raw_affiliation_strings":["A.G. AWATE College of Engineering, Hadapsar, Pune, India"],"affiliations":[{"raw_affiliation_string":"A.G. AWATE College of Engineering, Hadapsar, Pune, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091593309","display_name":"Sanjay N. Talbar","orcid":"https://orcid.org/0000-0002-0111-4910"},"institutions":[{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. N. Talbar","raw_affiliation_strings":["SGGS Inst. of Engineering & Tech., Vishnupuri, Nanded, India"],"affiliations":[{"raw_affiliation_string":"SGGS Inst. of Engineering & Tech., Vishnupuri, Nanded, India","institution_ids":["https://openalex.org/I4210093989"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008658877"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15011023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"544","last_page":"547"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9729999899864197,"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"}},{"id":"https://openalex.org/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9103000164031982,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.8935104012489319},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.8628072738647461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7970792055130005},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.774275004863739},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7099587321281433},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.6352356672286987},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6140419244766235},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5812222957611084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5733275413513184},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5724636912345886},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.5181323289871216},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5010807514190674},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47405263781547546},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.43312638998031616},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.42934712767601013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38289719820022583},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.289180725812912},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2846195101737976},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22494956851005554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0920606255531311},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.06702953577041626}],"concepts":[{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.8935104012489319},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.8628072738647461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7970792055130005},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.774275004863739},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7099587321281433},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.6352356672286987},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6140419244766235},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5812222957611084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5733275413513184},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5724636912345886},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5181323289871216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5010807514190674},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47405263781547546},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.43312638998031616},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.42934712767601013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38289719820022583},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.289180725812912},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2846195101737976},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22494956851005554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0920606255531311},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.06702953577041626},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"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:10.1145/1741906.1742029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1741906.1742029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference and Workshop on Emerging Trends in Technology","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":11,"referenced_works":["https://openalex.org/W1523682477","https://openalex.org/W1836069634","https://openalex.org/W1981707239","https://openalex.org/W2008338741","https://openalex.org/W2090425678","https://openalex.org/W2132404840","https://openalex.org/W2140504127","https://openalex.org/W2537121030","https://openalex.org/W2546193838","https://openalex.org/W4251142838","https://openalex.org/W6631470086"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2759939383","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2952386695","https://openalex.org/W2557390811","https://openalex.org/W3133795085","https://openalex.org/W3213945064","https://openalex.org/W2784078054"],"abstract_inverted_index":{"Iris":[0],"recognition":[1],"has":[2,91],"become":[3],"one":[4,30],"of":[5,25,31,111],"the":[6,32,49,54,62,88,93],"prominent":[7],"biometrics":[8],"features":[9],"in":[10,39,64,83],"human":[11],"identification":[12],"system.":[13],"In":[14],"addition":[15],"to":[16,74],"light":[17],"intensity,":[18],"focusing":[19],"and":[20,58,114],"capture":[21],"distance":[22],"problems,":[23],"percent":[24],"IRIS":[26,80,89,115],"visibility":[27],"are":[28],"also":[29,70],"major":[33,98],"problems.":[34],"This":[35,51],"can":[36],"cause":[37],"failure":[38,99],"most":[40],"common":[41],"method,":[42],"Hamming":[43],"Distance":[44],"(HD),":[45],"used":[46],"for":[47,118],"matching":[48,66,113],"templates.":[50],"paper":[52],"proposes":[53],"iris":[55],"code":[56,116],"organization":[57],"searching":[59,85],"algorithm":[60,69,103],"suggesting":[61],"improvement":[63],"template":[65,72,112,119],"process.":[67],"The":[68,101],"suggests":[71],"selection":[73,117],"avoid":[75],"comparison":[76],"with":[77],"all":[78],"existing":[79],"codes":[81],"resulting":[82],"faster":[84],"speed.":[86],"For":[87],"that":[90],"accumulated":[92],"cataract,":[94],"HD":[95,109],"methods":[96],"shows":[97,104],"results.":[100],"proposed":[102],"better":[105],"performance":[106],"over":[107],"conventional":[108],"method":[110],"matching.":[120]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}