{"id":"https://openalex.org/W2902296176","doi":"https://doi.org/10.1109/icacci.2018.8554430","title":"Fast Approach for Iris Detection on GPU by Applying Search Localization for Circular Hough Transform","display_name":"Fast Approach for Iris Detection on GPU by Applying Search Localization for Circular Hough Transform","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902296176","doi":"https://doi.org/10.1109/icacci.2018.8554430","mag":"2902296176"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2018.8554430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5112214138","display_name":"Pinkey Kumari","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pinkey Kumari","raw_affiliation_strings":["Dept of Computer Science &#x0026; Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India","Dept of Computer Science & Engineering, Amrita School of Engineering, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science &#x0026; Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Dept of Computer Science & Engineering, Amrita School of Engineering, Bengaluru, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006253638","display_name":"Srinath R. Naidu","orcid":"https://orcid.org/0000-0001-7512-4743"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srinath R. Naidu","raw_affiliation_strings":["Dept of Computer Science &#x0026; Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India","Dept of Computer Science & Engineering, Amrita School of Engineering, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science &#x0026; Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Dept of Computer Science & Engineering, Amrita School of Engineering, Bengaluru, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112214138"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.1651,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.47417622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"774","last_page":"778"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.993399977684021,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.9499735832214355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7818561792373657},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.7348093390464783},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7307404279708862},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5914239287376404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5879523158073425},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.5653036832809448},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.5073179602622986},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.4797264635562897},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.476335346698761},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.44656944274902344},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44354677200317383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3504580855369568},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2929181456565857},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29190075397491455},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.223940908908844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19413542747497559},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1380474865436554}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.9499735832214355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7818561792373657},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.7348093390464783},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7307404279708862},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5914239287376404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5879523158073425},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.5653036832809448},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.5073179602622986},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.4797264635562897},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.476335346698761},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.44656944274902344},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44354677200317383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3504580855369568},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2929181456565857},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29190075397491455},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.223940908908844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19413542747497559},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1380474865436554}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2018.8554430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"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":10,"referenced_works":["https://openalex.org/W1604532071","https://openalex.org/W2012454909","https://openalex.org/W2075561361","https://openalex.org/W2100855829","https://openalex.org/W2124037015","https://openalex.org/W2156878182","https://openalex.org/W2295826333","https://openalex.org/W2545856933","https://openalex.org/W2557926276","https://openalex.org/W2787219296"],"related_works":["https://openalex.org/W2598944200","https://openalex.org/W2559348759","https://openalex.org/W1936382095","https://openalex.org/W2057093945","https://openalex.org/W4317790246","https://openalex.org/W2992303576","https://openalex.org/W2613190877","https://openalex.org/W4318602434","https://openalex.org/W2124331456","https://openalex.org/W2470372437"],"abstract_inverted_index":{"Security":[0],"applications":[1],"are":[2],"adopting":[3],"iris-based":[4],"biometric":[5],"system":[6],"for":[7,17,42],"identification":[8],"and":[9,69,78,91],"authorization":[10],"of":[11,53],"individuals.":[12],"However,":[13],"the":[14,49,62,71,82],"computational":[15],"cost":[16],"these":[18],"algorithms":[19],"is":[20,89],"very":[21],"high.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26],"present":[27],"a":[28],"faster":[29],"approach":[30],"to":[31,60],"iris":[32,63],"detection":[33,64],"on":[34,73],"GPU":[35,54],"(Graphical":[36],"Processing":[37],"Unit)":[38,77],"applying":[39],"search":[40],"localization":[41],"Hough":[43,67,87],"Transform":[44,68,88],"(HT).":[45],"We":[46],"have":[47],"utilized":[48],"parallel":[50],"computing":[51],"capability":[52],"along":[55],"with":[56],"Search":[57],"Localization":[58],"(SL)":[59],"accelerate":[61],"using":[65],"Circular":[66,86],"compared":[70],"performance":[72],"CPU":[74],"(Central":[75],"Process":[76],"GPU.":[79],"SL":[80],"reduces":[81],"region":[83],"over":[84],"which":[85],"performed":[90],"hence":[92],"gives":[93],"better":[94],"performance.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
