{"id":"https://openalex.org/W3210460427","doi":"https://doi.org/10.1109/icsipa52582.2021.9576775","title":"Dynamic U-Net Using Residual Network for Iris Segmentation","display_name":"Dynamic U-Net Using Residual Network for Iris Segmentation","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3210460427","doi":"https://doi.org/10.1109/icsipa52582.2021.9576775","mag":"3210460427"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa52582.2021.9576775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa52582.2021.9576775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","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/A5080273174","display_name":"Nurul Amirah Mashudi","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Nurul Amirah Mashudi","raw_affiliation_strings":["Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027927228","display_name":"Norulhusna Ahmad","orcid":"https://orcid.org/0000-0001-9991-343X"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Norulhusna Ahmad","raw_affiliation_strings":["Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062305204","display_name":"Norliza Mohd Noor","orcid":"https://orcid.org/0000-0001-6540-1006"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Norliza Mohd Noor","raw_affiliation_strings":["Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080273174"],"corresponding_institution_ids":["https://openalex.org/I4576418"],"apc_list":null,"apc_paid":null,"fwci":0.4571,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62420554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"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":1.0,"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":0.9387000203132629,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9316999912261963,"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/segmentation","display_name":"Segmentation","score":0.7993916869163513},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7726075649261475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7677949666976929},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.667484700679779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6567126512527466},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.5918842554092407},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.575568675994873},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5428375005722046},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.542816162109375},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5330730080604553},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4728441834449768},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36887603998184204},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06868106126785278}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7993916869163513},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7726075649261475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7677949666976929},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.667484700679779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6567126512527466},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.5918842554092407},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.575568675994873},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5428375005722046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.542816162109375},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5330730080604553},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4728441834449768},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36887603998184204},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06868106126785278},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsipa52582.2021.9576775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa52582.2021.9576775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321147","display_name":"Ministry of Higher Education","ror":"https://ror.org/0512bh102"},{"id":"https://openalex.org/F4320323300","display_name":"Universiti Teknologi Malaysia","ror":"https://ror.org/026w31v75"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1977554898","https://openalex.org/W2009073259","https://openalex.org/W2066593954","https://openalex.org/W2102796633","https://openalex.org/W2148898778","https://openalex.org/W2171759622","https://openalex.org/W2194775991","https://openalex.org/W2760342139","https://openalex.org/W2765685479","https://openalex.org/W2766589012","https://openalex.org/W2774581827","https://openalex.org/W2894802018","https://openalex.org/W2894920060","https://openalex.org/W2908357147","https://openalex.org/W2912685185","https://openalex.org/W2946398170","https://openalex.org/W2951213084","https://openalex.org/W2955740297","https://openalex.org/W2971657673","https://openalex.org/W3011990345","https://openalex.org/W3101205945","https://openalex.org/W4230888393","https://openalex.org/W6758722247"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W2151970936","https://openalex.org/W2759939383","https://openalex.org/W2294693339","https://openalex.org/W2557390811","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W3213945064"],"abstract_inverted_index":{"Biometric":[0],"applications":[1],"have":[2],"taken":[3],"tremendous":[4],"attention":[5],"these":[6],"days":[7],"due":[8],"to":[9,67,84],"technological":[10],"advancements":[11],"and":[12,18,34,44,53],"the":[13,23,36,41,50,57,68,86,91,103,111,118,135],"high":[14],"demand":[15],"for":[16],"safety":[17],"security":[19],"systems.":[20],"Regardless":[21],"of":[22,71,105],"existing":[24],"biometric":[25],"traits":[26],"such":[27],"as":[28,40],"fingerprints,":[29],"palm,":[30],"face,":[31],"retina,":[32],"voice,":[33],"gait,":[35],"iris":[37,58,72],"is":[38,49,64,156],"known":[39],"most":[42,51],"consistent":[43],"precise":[45],"trait.":[46],"Iris":[47],"segmentation":[48,62,87,130],"significant":[52],"essential":[54],"stage":[55],"in":[56,117,164],"recognition":[59],"process.":[60],"The":[61,94,129,153],"method":[63,96,122,140],"precisely":[65],"related":[66],"performance":[69],"accuracy":[70,101],"recognition.":[73],"In":[74],"this":[75],"study,":[76],"we":[77],"proposed":[78,95,121,139],"a":[79,99,125],"Dynamic":[80],"U-Net":[81],"using":[82],"ResNet-34":[83],"improve":[85],"results":[88,131],"based":[89,109],"on":[90,102,110],"F1":[92,127],"score.":[93,128],"would":[97],"produce":[98],"better":[100],"condition":[104],"applying":[106],"post-processing.":[107],"However,":[108],"comparative":[112],"analysis":[113],"with":[114,134],"other":[115],"methods":[116],"literature,":[119],"our":[120],"has":[123,141],"produced":[124,142],"higher":[126,146],"were":[132],"compared":[133],"Unified":[136,148],"IrisParseNet.":[137],"Our":[138],"93.66%":[143],"accuracy,":[144],"which":[145,159],"than":[147],"IrisParseNet":[149],"at":[150],"93.05%,":[151],"respectively.":[152],"computational":[154],"time":[155],"also":[157],"high,":[158],"can":[160],"be":[161],"further":[162],"improved":[163],"future":[165],"work.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}