{"id":"https://openalex.org/W2031017616","doi":"https://doi.org/10.1142/s0218001412560113","title":"TOWARDS A FAST METHOD FOR IRIS IDENTIFICATION WITH FRACTAL AND CHAOS GAME THEORY","display_name":"TOWARDS A FAST METHOD FOR IRIS IDENTIFICATION WITH FRACTAL AND CHAOS GAME THEORY","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2031017616","doi":"https://doi.org/10.1142/s0218001412560113","mag":"2031017616"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001412560113","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412560113","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5071880547","display_name":"Mahdi Jampour","orcid":"https://orcid.org/0000-0002-1559-1865"},"institutions":[{"id":"https://openalex.org/I183859904","display_name":"Islamic Azad University, Mashhad","ror":"https://ror.org/00bvysh61","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I183859904"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"MAHDI JAMPOUR","raw_affiliation_strings":["Department of Artificial Intelligence, Islamic Azad University, Mashhad Branch, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Islamic Azad University, Mashhad Branch, Mashhad, Iran","institution_ids":["https://openalex.org/I183859904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056749996","display_name":"Reza Ebrahimzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I183859904","display_name":"Islamic Azad University, Mashhad","ror":"https://ror.org/00bvysh61","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I183859904"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"REZA EBRAHIMZADEH","raw_affiliation_strings":["Department of Artificial Intelligence, Islamic Azad University, Mashhad Branch, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Islamic Azad University, Mashhad Branch, Mashhad, Iran","institution_ids":["https://openalex.org/I183859904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037058753","display_name":"Mahdi Yaghoobi","orcid":null},"institutions":[{"id":"https://openalex.org/I183859904","display_name":"Islamic Azad University, Mashhad","ror":"https://ror.org/00bvysh61","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I183859904"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"MAHDI YAGHOOBI","raw_affiliation_strings":["Department of Electrical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran","institution_ids":["https://openalex.org/I183859904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031202533","display_name":"Adel Soleimani Nejad","orcid":"https://orcid.org/0000-0002-9757-6836"},"institutions":[{"id":"https://openalex.org/I115566878","display_name":"Shahid Bahonar University of Kerman","ror":"https://ror.org/04zn42r77","country_code":"IR","type":"education","lineage":["https://openalex.org/I115566878"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"ADEL SOLEIMANI-NEZHAD","raw_affiliation_strings":["Department of Library and Information Science, Shahid Bahonar University of Kerman, Kerman, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Library and Information Science, Shahid Bahonar University of Kerman, Kerman, Iran","institution_ids":["https://openalex.org/I115566878"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2477,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54195915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":"04","first_page":"1256011","last_page":"1256011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9668999910354614,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9437000155448914,"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/iris-recognition","display_name":"Iris recognition","score":0.801830530166626},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.7841697931289673},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.753708004951477},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6817018985748291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6615574359893799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6421349048614502},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.6237943768501282},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6160379648208618},{"id":"https://openalex.org/keywords/chaos-theory","display_name":"Chaos theory","score":0.5167931318283081},{"id":"https://openalex.org/keywords/fractal-analysis","display_name":"Fractal analysis","score":0.5007896423339844},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.4791126251220703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4580385684967041},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4003307819366455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2723495364189148},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07180634140968323},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.0601116418838501}],"concepts":[{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.801830530166626},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.7841697931289673},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.753708004951477},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6817018985748291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6615574359893799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6421349048614502},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.6237943768501282},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6160379648208618},{"id":"https://openalex.org/C92866567","wikidata":"https://www.wikidata.org/wiki/Q166314","display_name":"Chaos theory","level":3,"score":0.5167931318283081},{"id":"https://openalex.org/C162494671","wikidata":"https://www.wikidata.org/wiki/Q2845227","display_name":"Fractal analysis","level":4,"score":0.5007896423339844},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.4791126251220703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4580385684967041},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4003307819366455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2723495364189148},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07180634140968323},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0601116418838501},{"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},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001412560113","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412560113","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1523682477","https://openalex.org/W1639795441","https://openalex.org/W1964090263","https://openalex.org/W1972835149","https://openalex.org/W1981503287","https://openalex.org/W1991651420","https://openalex.org/W2000902737","https://openalex.org/W2011412442","https://openalex.org/W2021992721","https://openalex.org/W2034036288","https://openalex.org/W2042129823","https://openalex.org/W2066785186","https://openalex.org/W2100603595","https://openalex.org/W2114212719","https://openalex.org/W2116354491","https://openalex.org/W2134851222","https://openalex.org/W2140959843","https://openalex.org/W2144942180","https://openalex.org/W2145611910","https://openalex.org/W2160141917","https://openalex.org/W2160242612","https://openalex.org/W2161872766","https://openalex.org/W2163485179","https://openalex.org/W2165436899","https://openalex.org/W2167075312","https://openalex.org/W2171759622","https://openalex.org/W2339378878","https://openalex.org/W2490257335","https://openalex.org/W4230579564","https://openalex.org/W4300669732"],"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/W2557390811","https://openalex.org/W3133795085","https://openalex.org/W3213945064","https://openalex.org/W2952386695","https://openalex.org/W2186498414"],"abstract_inverted_index":{"Nowadays":[0],"many":[1],"techniques":[2],"are":[3,63,71],"being":[4],"used":[5],"to":[6],"increase":[7],"the":[8,35,47,98,102,110,139],"reliability":[9],"of":[10,18,49,138,160],"human":[11,19],"identification":[12,26,76,104],"systems.":[13],"Iris":[14,118],"is":[15,22,39,86,109],"a":[16,40,88],"part":[17,137],"body":[20],"that":[21,37],"desirable":[23,152],"for":[24,74],"biometric":[25],"and":[27,65,79,121,146],"has":[28,128],"favorable":[29],"factors.":[30],"We":[31,113],"have":[32,114],"focused":[33],"on":[34,106,144,148],"reality":[36],"iris":[38,68,75,103,140],"fractal":[41,78,130],"phenomenon":[42],"in":[43,67],"this":[44,116],"paper.":[45],"During":[46],"production":[48],"new":[50,89],"fractals,":[51],"some":[52,129],"features":[53,62,96,108],"will":[54],"be":[55],"extracted":[56,107],"by":[57],"Chaos":[58,80,122],"Game":[59,81,123],"mechanism.":[60],"These":[61],"useful":[64],"effective":[66],"identification.":[69],"There":[70],"three":[72],"steps":[73],"with":[77],"Theory.":[82],"The":[83,91],"first":[84,99],"step":[85,93],"making":[87],"fractal.":[90],"second":[92],"includes":[94],"extracting":[95],"during":[97],"step.":[100,112],"Finally,":[101],"based":[105],"third":[111],"named":[115],"technique":[117,127],"Identification":[119],"based-Fractal":[120],"Theory":[124],"(Iris-IFCGT).":[125],"This":[126],"properties":[131],"like":[132],"stability":[133],"against":[134],"zoom,":[135],"removing":[136],"image,":[141],"no":[142],"sensitivity":[143],"rotation":[145],"so":[147],"as":[149,151],"well":[150],"speed":[153],"which":[154],"helps":[155],"preventing":[156],"time":[157],"consuming":[158],"process":[159],"pattern":[161],"recognition.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
