{"id":"https://openalex.org/W4408703498","doi":"https://doi.org/10.1109/ipas63548.2025.10924482","title":"Eye side and orientation detection of iris images using lightweight textural descriptors for embedded systems","display_name":"Eye side and orientation detection of iris images using lightweight textural descriptors for embedded systems","publication_year":2025,"publication_date":"2025-01-09","ids":{"openalex":"https://openalex.org/W4408703498","doi":"https://doi.org/10.1109/ipas63548.2025.10924482"},"language":"en","primary_location":{"id":"doi:10.1109/ipas63548.2025.10924482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas63548.2025.10924482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5085680705","display_name":"Chung Nguyen Tran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chung Nguyen Tran","raw_affiliation_strings":["Universitat Autònoma de Barcelona,Departament de MiSE,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Autònoma de Barcelona,Departament de MiSE,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055631615","display_name":"Jordi Carrabina","orcid":"https://orcid.org/0000-0002-9540-8759"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jordi Carrabina","raw_affiliation_strings":["Universitat Autònoma de Barcelona,Departament de MiSE,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Autònoma de Barcelona,Departament de MiSE,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039409058","display_name":"David Castells\u2010Rufas","orcid":"https://orcid.org/0000-0002-7181-9705"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Castells-Rufas","raw_affiliation_strings":["Universitat Autònoma de Barcelona,Departament de MiSE,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Autònoma de Barcelona,Departament de MiSE,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108622343","display_name":"Minh Son Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Minh Son Nguyen","raw_affiliation_strings":["University of Information Technology,Dept. of Computer Engineering,Ho Chi Minh City,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Information Technology,Dept. of Computer Engineering,Ho Chi Minh City,Vietnam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041170709","display_name":"Le-Anh Tran","orcid":"https://orcid.org/0000-0002-9380-7166"},"institutions":[{"id":"https://openalex.org/I4210088601","display_name":"Boditech Med (South Korea)","ror":"https://ror.org/009zm7e81","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210088601"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Le-Anh Tran","raw_affiliation_strings":["Mindintech, Inc.,Dept. of Research and Development,Seoul,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mindintech, Inc.,Dept. of Research and Development,Seoul,South Korea","institution_ids":["https://openalex.org/I4210088601"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012738378","display_name":"Cach N. Dang","orcid":"https://orcid.org/0000-0001-6979-9197"},"institutions":[{"id":"https://openalex.org/I120089902","display_name":"Ho Chi Minh City University of Transport","ror":"https://ror.org/011c0vt04","country_code":"VN","type":"education","lineage":["https://openalex.org/I120089902"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nhan Cach Dang","raw_affiliation_strings":["HCMC University of Transport,IITEEE,Ho Chi Minh City,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HCMC University of Transport,IITEEE,Ho Chi Minh City,Vietnam","institution_ids":["https://openalex.org/I120089902"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9926999807357788,"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":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.7558028697967529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7226254940032959},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7125352621078491},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6818546056747437},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.6742777824401855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6576481461524963},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.13739901781082153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11771145462989807},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.05898359417915344}],"concepts":[{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.7558028697967529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226254940032959},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7125352621078491},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6818546056747437},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.6742777824401855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6576481461524963},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.13739901781082153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11771145462989807},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.05898359417915344}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipas63548.2025.10924482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas63548.2025.10924482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1540550673","https://openalex.org/W1974821667","https://openalex.org/W1992954735","https://openalex.org/W2044465660","https://openalex.org/W2053010053","https://openalex.org/W2096171208","https://openalex.org/W2140959843","https://openalex.org/W2533721565","https://openalex.org/W2561709512","https://openalex.org/W2611369100","https://openalex.org/W3214054153","https://openalex.org/W6754895985","https://openalex.org/W6930859325"],"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/W4231710054","https://openalex.org/W2557390811","https://openalex.org/W3133795085","https://openalex.org/W3213945064","https://openalex.org/W2784078054"],"abstract_inverted_index":{"Iris":[0],"recognition":[1],"is":[2,110],"a":[3,62,82],"widely":[4],"used":[5,112],"biometric":[6,57],"authentication":[7],"technique":[8],"due":[9],"to":[10,21,97,113,151],"its":[11],"high":[12],"accuracy":[13],"and":[14,49,71,92,159,191],"uniqueness.":[15],"However,":[16],"these":[17,142],"systems":[18],"are":[19],"vulnerable":[20],"spoofing":[22],"attacks,":[23],"which":[24],"can":[25],"occur":[26],"by":[27],"rotating":[28],"an":[29,33,75],"iris":[30,34,76,102,122,138],"image":[31,37],"or":[32,118,155,171],"scanner":[35],"during":[36],"acquisition.":[38],"Additionally,":[39],"correctly":[40],"recognizing":[41],"the":[42,51,68,101,115,121,126,133,137,145,149,181],"eye":[43,116,153],"side":[44,117,154],"significantly":[45],"reduces":[46],"computational":[47],"load":[48],"decreases":[50],"likelihood":[52],"of":[53,74,120,136],"false":[54],"positives":[55],"in":[56,188],"systems.":[58],"This":[59],"paper":[60],"introduces":[61],"novel":[63],"method":[64,80,147,183],"for":[65,164],"automatically":[66],"detecting":[67],"correct":[69],"left/right":[70],"upright/upside-down":[72],"orientation":[73,119],"image.":[77,103],"The":[78,157],"proposed":[79,146,182],"employs":[81],"lightweight":[83],"feature":[84],"extraction":[85],"algorithm":[86],"utilizing":[87],"Local":[88],"Binary":[89],"Pattern":[90],"(LBP)":[91],"Gray-Level":[93],"Co-Occurrence":[94],"Matrix":[95],"(GLCM)":[96],"extract":[98],"features":[99,135],"from":[100],"A":[104],"Support":[105],"Vector":[106],"Machine":[107],"(SVM)":[108],"classifier":[109],"then":[111],"determine":[114],"images.":[123,139],"LBP":[124],"captures":[125],"local":[127],"texture":[128,161],"details,":[129],"whereas":[130],"GLCM":[131],"describes":[132],"statistical":[134],"By":[140],"combining":[141],"textural":[143],"features,":[144],"improves":[148],"ability":[150],"classify":[152],"orientation.":[156],"efficient":[158],"precise":[160],"descriptors":[162],"allow":[163],"implementation":[165],"on":[166,176],"embedded":[167],"systems,":[168],"including":[169],"IoT":[170],"mobile":[172],"devices.":[173],"Experimental":[174],"results":[175],"benchmark":[177],"datasets":[178],"demonstrate":[179],"that":[180],"outperforms":[184],"existing":[185],"baseline":[186],"methods":[187],"both":[189],"performance":[190],"speed.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}