{"id":"https://openalex.org/W2049772893","doi":"https://doi.org/10.1109/icsipa.2013.6707991","title":"Retracted: Classification of iris regions using Principal Component Analysis and Support Vector Machine","display_name":"Retracted: Classification of iris regions using Principal Component Analysis and Support Vector Machine","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2049772893","doi":"https://doi.org/10.1109/icsipa.2013.6707991","mag":"2049772893"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa.2013.6707991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2013.6707991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Signal and Image Processing 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/A5107051997","display_name":"A. J. Nor'aini","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"A.J. Nor'aini","raw_affiliation_strings":["Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038907933","display_name":"S. Rohilah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Rohilah","raw_affiliation_strings":["School of Engineering, Stamford College, Section 14, 46100 Petaling Jaya, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Stamford College, Section 14, 46100 Petaling Jaya, Selangor, Malaysia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109161984","display_name":"S. Azilah","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"S. Azilah","raw_affiliation_strings":["Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107051997"],"corresponding_institution_ids":["https://openalex.org/I82724352"],"apc_list":null,"apc_paid":null,"fwci":0.6384,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68501816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"134","last_page":"139"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9995999932289124,"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":0.9995999932289124,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9319999814033508,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7658193707466125},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7287654280662537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6943291425704956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.65849769115448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5711215138435364},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5445241928100586},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.5126237273216248},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.5045274496078491},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49016866087913513},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45155346393585205},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.4502139687538147},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.43964678049087524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3629910349845886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2646949291229248},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.21762153506278992},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09329614043235779},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07494258880615234},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.06759509444236755}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7658193707466125},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7287654280662537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6943291425704956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.65849769115448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5711215138435364},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5445241928100586},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.5126237273216248},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.5045274496078491},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49016866087913513},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45155346393585205},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.4502139687538147},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.43964678049087524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3629910349845886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2646949291229248},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.21762153506278992},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09329614043235779},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07494258880615234},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.06759509444236755},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsipa.2013.6707991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2013.6707991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Signal and Image Processing Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322780","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2102544846","https://openalex.org/W2102796633","https://openalex.org/W2112604022","https://openalex.org/W2135602333","https://openalex.org/W2146091652","https://openalex.org/W2165254812","https://openalex.org/W2171737945","https://openalex.org/W2171759622","https://openalex.org/W2181716077","https://openalex.org/W6685035789","https://openalex.org/W6685926381"],"related_works":["https://openalex.org/W2534878021","https://openalex.org/W2512565647","https://openalex.org/W2376141492","https://openalex.org/W2764306564","https://openalex.org/W2151060079","https://openalex.org/W2032870764","https://openalex.org/W2805008028","https://openalex.org/W2222433250","https://openalex.org/W1997206106","https://openalex.org/W2155312917"],"abstract_inverted_index":{"This":[0,44,112],"paper":[1],"presents":[2],"the":[3,41,52,80,92,101,109,115,118,125],"classification":[4],"of":[5,69,103,120,128],"vagina":[6,70],"and":[7,21,50,65,71,90],"pelvis":[8,72],"from":[9,79],"iris":[10,42,53,59],"region":[11],"based":[12,73],"on":[13,74],"iridology":[14,75],"chart":[15],"using":[16,85],"Principal":[17],"Component":[18],"Analysis":[19,88],"(PCA)":[20,89],"Support":[22],"Vector":[23],"Machine":[24],"with":[25,54,108],"Radial":[26],"Basis":[27],"Function":[28],"kernel":[29],"(SVM-RBF).":[30],"The":[31,57],"Circular":[32],"Boundary":[33],"Detector":[34],"(CBD)":[35],"has":[36],"been":[37],"introduced":[38],"for":[39,117],"localizing":[40],"region.":[43],"method":[45],"is":[46,98],"able":[47],"to":[48,94,123],"localize":[49],"segment":[51],"100%":[55],"accuracy.":[56],"segmented":[58],"was":[60],"unwrapped":[61],"into":[62,67],"polar":[63],"form":[64],"cropped":[66,81],"regions":[68,82],"chart.":[76],"Features":[77],"obtained":[78],"are":[83,91],"extracted":[84],"Principle":[86],"Components":[87],"inputs":[93],"SVM-RBF.":[95],"Classification":[96],"accuracy":[97],"computed":[99],"through":[100],"comparison":[102],"each":[104],"test":[105],"feature":[106],"vector":[107],"target":[110],"vectors.":[111],"study":[113],"provides":[114],"foundation":[116],"development":[119],"diagnostic":[121],"system":[122],"monitor":[124],"health":[126],"condition":[127],"human":[129],"body":[130],"parts.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}