{"id":"https://openalex.org/W2076559000","doi":"https://doi.org/10.1109/ipta.2010.5586780","title":"Localization of noncircular iris boundaries using morphology and arched Hough transform","display_name":"Localization of noncircular iris boundaries using morphology and arched Hough transform","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2076559000","doi":"https://doi.org/10.1109/ipta.2010.5586780","mag":"2076559000"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2010.5586780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2010.5586780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","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/A5010735425","display_name":"Hamed Ghodrati","orcid":null},"institutions":[{"id":"https://openalex.org/I204490172","display_name":"Shiraz University of Technology","ror":"https://ror.org/04bxa3v83","country_code":"IR","type":"education","lineage":["https://openalex.org/I204490172"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hamed Ghodrati","raw_affiliation_strings":["Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran","Department of Electrical Engineering, Shiraz University of Technology (sutech), Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran","institution_ids":["https://openalex.org/I204490172"]},{"raw_affiliation_string":"Department of Electrical Engineering, Shiraz University of Technology (sutech), Iran","institution_ids":["https://openalex.org/I204490172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081671074","display_name":"Mohammad Javad Dehghani","orcid":"https://orcid.org/0000-0003-0972-2352"},"institutions":[{"id":"https://openalex.org/I204490172","display_name":"Shiraz University of Technology","ror":"https://ror.org/04bxa3v83","country_code":"IR","type":"education","lineage":["https://openalex.org/I204490172"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Javad Dehghani","raw_affiliation_strings":["Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran","Department of Electrical Engineering, Shiraz University of Technology (sutech), Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran","institution_ids":["https://openalex.org/I204490172"]},{"raw_affiliation_string":"Department of Electrical Engineering, Shiraz University of Technology (sutech), Iran","institution_ids":["https://openalex.org/I204490172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018644832","display_name":"Mohammd Sadegh Helfroush","orcid":null},"institutions":[{"id":"https://openalex.org/I204490172","display_name":"Shiraz University of Technology","ror":"https://ror.org/04bxa3v83","country_code":"IR","type":"education","lineage":["https://openalex.org/I204490172"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammd Sadegh Helfroush","raw_affiliation_strings":["Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran","Department of Electrical Engineering, Shiraz University of Technology (sutech), Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran","institution_ids":["https://openalex.org/I204490172"]},{"raw_affiliation_string":"Department of Electrical Engineering, Shiraz University of Technology (sutech), Iran","institution_ids":["https://openalex.org/I204490172"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112453629","display_name":"Kamran Kazemi","orcid":null},"institutions":[{"id":"https://openalex.org/I204490172","display_name":"Shiraz University of Technology","ror":"https://ror.org/04bxa3v83","country_code":"IR","type":"education","lineage":["https://openalex.org/I204490172"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Kamran Kazemi","raw_affiliation_strings":["Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran","Department of Electrical Engineering, Shiraz University of Technology (sutech), Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran","institution_ids":["https://openalex.org/I204490172"]},{"raw_affiliation_string":"Department of Electrical Engineering, Shiraz University of Technology (sutech), Iran","institution_ids":["https://openalex.org/I204490172"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010735425"],"corresponding_institution_ids":["https://openalex.org/I204490172"],"apc_list":null,"apc_paid":null,"fwci":0.3372,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58198794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"458","last_page":"463"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.932200014591217,"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/hough-transform","display_name":"Hough transform","score":0.8074887990951538},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.7988710403442383},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.7027002573013306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7002016305923462},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6624222993850708},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.656150221824646},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6397665739059448},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5900700092315674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5799733996391296},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5321447253227234},{"id":"https://openalex.org/keywords/pupil","display_name":"Pupil","score":0.5210403800010681},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.510513424873352},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.4936736524105072},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46823447942733765},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4546646475791931},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4544064402580261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4236883223056793},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.4236794710159302},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32973289489746094},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3005330562591553},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29558050632476807},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.22559335827827454},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1763370931148529},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1587735116481781},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07527649402618408}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8074887990951538},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.7988710403442383},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.7027002573013306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7002016305923462},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6624222993850708},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.656150221824646},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6397665739059448},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5900700092315674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5799733996391296},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5321447253227234},{"id":"https://openalex.org/C2777394604","wikidata":"https://www.wikidata.org/wiki/Q173318","display_name":"Pupil","level":2,"score":0.5210403800010681},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.510513424873352},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.4936736524105072},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46823447942733765},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4546646475791931},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4544064402580261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4236883223056793},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.4236794710159302},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32973289489746094},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3005330562591553},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29558050632476807},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.22559335827827454},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1763370931148529},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1587735116481781},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07527649402618408}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2010.5586780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2010.5586780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","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":15,"referenced_works":["https://openalex.org/W1606118925","https://openalex.org/W1974821667","https://openalex.org/W2013693301","https://openalex.org/W2017919524","https://openalex.org/W2056477802","https://openalex.org/W2086879913","https://openalex.org/W2102796633","https://openalex.org/W2104311988","https://openalex.org/W2114415923","https://openalex.org/W2160242612","https://openalex.org/W2167621775","https://openalex.org/W2171281408","https://openalex.org/W2171759622","https://openalex.org/W2542648113","https://openalex.org/W6684607874"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W1999451535","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W3134368758","https://openalex.org/W2600780616","https://openalex.org/W2355177902"],"abstract_inverted_index":{"Iris":[0],"segmentation,":[1],"including":[2],"localization":[3,30,58],"and":[4,36,46,95,115,127,139,142],"noise":[5],"removal,":[6],"is":[7,21,31,75,79,111,134,146],"a":[8,56,84,90],"fundamental":[9],"step":[10],"in":[11,60,118],"iris":[12,165],"recognition":[13],"systems":[14],"as":[15],"the":[16,19,63,70,73,102,107,137,143,149,161,164],"performance":[17],"of":[18,29,43,72,83,92,163],"system":[20],"highly":[22],"depend":[23],"on":[24,136],"this":[25,52],"step.":[26],"The":[27,131,153],"aim":[28],"to":[32,101],"detect":[33],"inner":[34],"(pupil)":[35],"outer":[37],"(limbic)":[38],"boundaries.":[39],"Noise":[40],"removal":[41],"consists":[42],"eliminating":[44],"eyelids":[45],"eyelashes":[47],"from":[48],"localized":[49,80,144],"image.":[50],"In":[51,87],"paper,":[53],"we":[54],"propose":[55],"new":[57],"algorithm,":[59],"which,":[61],"unlike":[62],"previously":[64],"reported":[65],"works,":[66],"no":[67],"assumption":[68],"for":[69],"shape":[71],"boundaries":[74],"supposed.":[76],"Inner":[77],"boundary":[78,110],"by":[81,123],"use":[82],"coarse-to-fine":[85],"strategy.":[86],"so":[88],"doing,":[89],"set":[91],"morphological":[93],"operators":[94],"canny":[96],"edge":[97],"detector":[98],"are":[99,121],"applied":[100],"square":[103],"region,":[104],"which":[105,119],"surrounds":[106],"pupil.":[108],"Outer":[109],"divided":[112],"into":[113],"right":[114],"left":[116],"sides":[117],"they":[120],"detected":[122],"arched":[124],"Hough":[125],"transform":[126],"finally":[128],"merged":[129],"together.":[130],"proposed":[132],"algorithm":[133,159],"tested":[135],"CASIA":[138],"MMU":[140],"databases":[141],"image":[145],"evaluated":[147],"using":[148],"ground":[150],"truth":[151],"method.":[152],"obtained":[154],"results":[155],"indicate":[156],"that":[157],"our":[158],"improves":[160],"precision":[162],"localization.":[166]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}