{"id":"https://openalex.org/W125987844","doi":null,"title":"A Novel and Robust Approach for Iris Segmentation","display_name":"A Novel and Robust Approach for Iris Segmentation","publication_year":2011,"publication_date":"2011-11-29","ids":{"openalex":"https://openalex.org/W125987844","mag":"125987844"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.259.2019","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.2019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.ijcaonline.org/volume34/number6/pxc3876003.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5103609262","display_name":"Hafiz Muhammad","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hafiz Muhammad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5063995470","display_name":"Parham Moradi","orcid":"https://orcid.org/0000-0002-5604-565X","observed_orcids":["https://orcid.org/0000-0002-5604-565X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parham Moradi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.314,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64385845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"34","issue":"6","first_page":"63","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9990000128746033,"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":0.9990000128746033,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":9.999999747378752e-05,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":9.999999747378752e-05,"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-segmentation","display_name":"iris segmentation","score":1.0},{"id":"https://openalex.org/keywords/iris-localization","display_name":"iris localization","score":0.8999999761581421},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"iris recognition","score":0.8650000095367432},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"region of interest","score":0.8790000081062317},{"id":"https://openalex.org/keywords/candidate-selection","display_name":"candidate selection","score":0.7870000004768372},{"id":"https://openalex.org/keywords/clustering-algorithms","display_name":"clustering algorithms","score":0.847000002861023},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.6570000052452087}],"concepts":[{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.856201171875},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.8480528593063354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82634437084198},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7573995590209961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7543665170669556},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.6015089750289917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5731549263000488},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5474413633346558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5339229106903076},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5135169625282288},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4292382597923279},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.42580926418304443},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41810792684555054},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.35771915316581726},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3059384822845459},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.259.2019","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.2019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.ijcaonline.org/volume34/number6/pxc3876003.pdf","raw_type":"text"},{"id":"mag:125987844","doi":null,"is_oa":false,"landing_page_url":"https://research.ijcaonline.org/volume34/number6/pxc3876003.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4210206007","display_name":"International Journal of Computer Applications","issn_l":"0975-8887","issn":["0975-8887"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"host_organization":"https://openalex.org/P4322545532","host_organization_name":"Foundation of Computer Science","host_organization_lineage":["https://openalex.org/P4322545532"],"host_organization_lineage_names":["Foundation of Computer Science"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computer Applications","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1523682477","https://openalex.org/W1577637324","https://openalex.org/W1836069634","https://openalex.org/W1974821667","https://openalex.org/W1993880691","https://openalex.org/W1994566282","https://openalex.org/W2058991683","https://openalex.org/W2102796633","https://openalex.org/W2112132530","https://openalex.org/W2134408546","https://openalex.org/W2156230705","https://openalex.org/W2161872766","https://openalex.org/W2164641861","https://openalex.org/W2167078873","https://openalex.org/W2168344120","https://openalex.org/W2181388684"],"related_works":["https://openalex.org/W2007237623","https://openalex.org/W2025648913","https://openalex.org/W2152766271","https://openalex.org/W2186498414","https://openalex.org/W2557390811","https://openalex.org/W2011689614","https://openalex.org/W2356749578","https://openalex.org/W6995496372","https://openalex.org/W2133084701","https://openalex.org/W1975031440"],"abstract_inverted_index":{"Iris":[0],"segmentation":[1],"is":[2,82,93,97,110,134,138,150,168,171,187],"almost":[3],"the":[4,15,76,80,100,122,126,129,156,197],"most":[5,83],"challenging":[6],"part":[7,17],"in":[8,14,21,78],"iris":[9,34,49,67,81,91,101,114,123,141],"recognition.":[10],"Several":[11],"robust":[12],"algorithms":[13],"recognition":[16],"have":[18],"been":[19],"developed":[20],"literature":[22],"yet.":[23],"In":[24],"this":[25,52],"paper,":[26],"we":[27],"focus":[28],"on":[29,190],"an":[30],"efficient":[31],"approach":[32,53,186,199],"for":[33,90,112],"segmentation.":[35,208],"The":[36,184,193],"main":[37],"purposes":[38],"are":[39,75],"to":[40,44,55,65,98,173],"improve":[41],"accuracy":[42],"and":[43,64,153,163,175,205],"reduce":[45],"computational":[46],"time":[47],"of":[48,58,148,182,203],"localization.":[50],"Briefly,":[51],"tries":[54],"explore":[56],"regions":[57,63,77,149,202],"interests":[59],"(ROI)":[60],"among":[61,116],"image":[62,118],"localize":[66],"from":[68,125,143],"one":[69,144],"or":[70,145,179],"more":[71,151],"remaining":[72],"regions.":[73,119],"ROI":[74],"which,":[79],"likely":[84],"exit.":[85],"An":[86],"empirical":[87],"binarization":[88],"method":[89],"images":[92],"presented.":[94],"Its":[95],"aim":[96],"preserve":[99],"region":[102,115],"while":[103],"removes":[104],"background.":[105],"A":[106],"novel":[107,162],"candidate":[108],"selection":[109],"presented":[111],"extracting":[113],"other":[117],"For":[120],"localizing":[121],"boundaries":[124],"identified":[127],"region,":[128],"Daugman":[130],"\u2019":[131],"Integro":[132],"operator":[133],"being":[135,188],"used.":[136],"It":[137,170],"obvious":[139],"that":[140,196],"localization":[142],"fewer":[146],"number":[147],"accurate":[152,207],"faster":[154],"than":[155],"whole":[157],"detailed":[158],"image.":[159,183],"Moreover,":[160],"a":[161],"very":[164],"fast":[165],"clustering":[166],"algorithm":[167],"proposed.":[169],"used":[172],"detect":[174],"remove":[176],"some":[177],"extra":[178],"rough":[180],"details":[181],"proposed":[185,198],"tested":[189],"CASIA-IrisV2":[191],"dataset.":[192],"experiments":[194],"show":[195],"yielded":[200],"reliable":[201],"interest":[204],"provided":[206]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}