{"id":"https://openalex.org/W2342421616","doi":"https://doi.org/10.5220/0005702005890596","title":"Fully Automated Soft Contact Lens Detection from NIR Iris Images","display_name":"Fully Automated Soft Contact Lens Detection from NIR Iris Images","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2342421616","doi":"https://doi.org/10.5220/0005702005890596","mag":"2342421616"},"language":"en","primary_location":{"id":"doi:10.5220/0005702005890596","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005702005890596","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005702005890596","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104160986","display_name":"B. Suresh Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Balender Kumar","raw_affiliation_strings":["Indian Institute of Technology Kanpur (IITK), India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kanpur (IITK), India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103245984","display_name":"Aditya Nigam","orcid":"https://orcid.org/0000-0003-4755-0619"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditya Nigam","raw_affiliation_strings":["Indian Institute of Technology Mandi (IIT Mandi), India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Mandi (IIT Mandi), India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100541144","display_name":"Phalguni Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094264","display_name":"National Institute of Technical Teachers\u2019 Training and Research","ror":"https://ror.org/00k8f0f41","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210094264"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Phalguni Gupta","raw_affiliation_strings":["National Institute of Technical Teacher\u2019s & Research (NITTTR) and Salt Lake, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technical Teacher\u2019s & Research (NITTTR) and Salt Lake, India","institution_ids":["https://openalex.org/I4210094264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104160986"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":0.5044,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62147195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"589","last_page":"596"},"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.972000002861023,"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"}},{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.91839998960495,"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/iris-recognition","display_name":"Iris recognition","score":0.874800443649292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7281355261802673},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.7266006469726562},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6802840232849121},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6611000895500183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6537041664123535},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.5850650072097778},{"id":"https://openalex.org/keywords/contact-lens","display_name":"Contact lens","score":0.5833359360694885},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.5129429697990417},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.4205958843231201},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.22475308179855347},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.19771236181259155},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08952397108078003},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08532682061195374}],"concepts":[{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.874800443649292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7281355261802673},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.7266006469726562},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6802840232849121},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6611000895500183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6537041664123535},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.5850650072097778},{"id":"https://openalex.org/C2986805488","wikidata":"https://www.wikidata.org/wiki/Q23797","display_name":"Contact lens","level":2,"score":0.5833359360694885},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.5129429697990417},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.4205958843231201},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.22475308179855347},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.19771236181259155},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08952397108078003},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08532682061195374},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005702005890596","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005702005890596","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0005702005890596","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005702005890596","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W80183842","https://openalex.org/W1577637324","https://openalex.org/W2070996054","https://openalex.org/W2163718130"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2759939383","https://openalex.org/W2952386695","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W2027539209","https://openalex.org/W4231710054","https://openalex.org/W2563133041","https://openalex.org/W2557390811","https://openalex.org/W3133795085"],"abstract_inverted_index":{"Iris":[0],"is":[1,71,96],"considered":[2],"as":[3,101,123],"one":[4],"of":[5,25,47,62,119],"the":[6,23,40,45,63,80,90,116,120],"best":[7],"biometric":[8],"trait":[9],"for":[10],"human":[11],"authentication":[12],"due":[13,43],"to":[14,38,44,54],"its":[15],"accuracy":[16],"and":[17,84],"permanence.\r\n\r\nHowever":[18],"easy":[19],"iris":[20,32,82],"spoofing":[21],"raise":[22],"risk":[24],"false":[26,29],"acceptance":[27],"or":[28],"rejection.":[30],"Recent":[31],"recognition\r\n\r\nresearch":[33],"has":[34],"made":[35],"an":[36],"attempt":[37],"quantify":[39],"performance":[41,95,118],"degradation":[42],"use":[46],"contact":[48,57],"lens.":[49],"This\r\n\r\nstudy":[50],"proposes":[51],"a":[52],"strategy":[53],"detect":[55],"soft":[56],"lens":[58,69,91],"in":[59],"visual":[60],"pictures":[61],"eye":[64],"obtained":[65],"using":[66],"NIR":[67],"sensor.\r\n\r\nThe":[68],"border":[70],"detected":[72],"by":[73],"considering":[74],"small":[75],"annular":[76],"ring-like":[77],"area":[78],"near":[79],"outer":[81],"boundary":[83],"locating\r\n\r\ncandidate":[85],"points":[86],"while":[87],"traversing":[88],"along":[89,106],"perimeter.":[92],"The":[93],"system":[94,122],"evaluated":[97],"over\r\n\r\npublic":[98],"databases":[99],"such":[100],"IIITD-Cogent,":[102],"UND":[103],"2010,":[104],"IIITD-Vista":[105],"with":[107,125],"our":[108],"self":[109],"created":[110],"IITK":[111],"database.\r\n\r\nThe":[112],"rigorous":[113],"experimentation":[114],"revels":[115],"superior":[117],"proposed":[121],"compared":[124],"other\r\n\r\nexisting":[126],"techniques.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
