{"id":"https://openalex.org/W4229497129","doi":"https://doi.org/10.7287/peerj.preprints.27363v1","title":"A fast Iris recognition system through optimum feature extraction","display_name":"A fast Iris recognition system through optimum feature extraction","publication_year":2018,"publication_date":"2018-11-20","ids":{"openalex":"https://openalex.org/W4229497129","doi":"https://doi.org/10.7287/peerj.preprints.27363v1"},"language":"en","primary_location":{"id":"doi:10.7287/peerj.preprints.27363v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.27363v1","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.7287/peerj.preprints.27363v1","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044484641","display_name":"Humayan Kabir Rana","orcid":"https://orcid.org/0000-0001-7834-0847"},"institutions":[{"id":"https://openalex.org/I2802576217","display_name":"Green University of Bangladesh","ror":"https://ror.org/04f7afq11","country_code":"BD","type":"education","lineage":["https://openalex.org/I2802576217"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Humayan Kabir Rana","raw_affiliation_strings":["Department of Computer Science and Engineering, Green University of Bangladesh, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0001-7834-0847","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Green University of Bangladesh, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I2802576217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045278445","display_name":"Md. Shafiul Azam","orcid":"https://orcid.org/0000-0001-7824-1400"},"institutions":[{"id":"https://openalex.org/I260446899","display_name":"Pabna University of Science and Technology","ror":"https://ror.org/01vxg3438","country_code":"BD","type":"education","lineage":["https://openalex.org/I260446899"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Shafiul Azam","raw_affiliation_strings":["Department of Computer Science and Engineering, Pabna University of Science and Technology, Pabna, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pabna University of Science and Technology, Pabna, Bangladesh","institution_ids":["https://openalex.org/I260446899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026039759","display_name":"Mst. Rashida Akhtar","orcid":"https://orcid.org/0000-0002-0500-1382"},"institutions":[{"id":"https://openalex.org/I3132220783","display_name":"Varendra University","ror":"https://ror.org/00crqck26","country_code":"BD","type":"education","lineage":["https://openalex.org/I3132220783"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mst. Rashida Akhtar","raw_affiliation_strings":["Department of Computer Science and Engineering, Varendra University, Rajshahi, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Varendra University, Rajshahi, Bangladesh","institution_ids":["https://openalex.org/I3132220783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066094600","display_name":"Julian M.W. Quinn","orcid":"https://orcid.org/0000-0001-9674-9646"},"institutions":[{"id":"https://openalex.org/I136750679","display_name":"Garvan Institute of Medical Research","ror":"https://ror.org/01b3dvp57","country_code":"AU","type":"nonprofit","lineage":["https://openalex.org/I136750679","https://openalex.org/I4210087284"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Julian Quinn","raw_affiliation_strings":["Bone Biology Division, Garvan Institute of Medical Research, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9674-9646","affiliations":[{"raw_affiliation_string":"Bone Biology Division, Garvan Institute of Medical Research, NSW, Australia","institution_ids":["https://openalex.org/I136750679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034828056","display_name":"Mohammad Ali Moni","orcid":"https://orcid.org/0000-0003-0756-1006"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohammad Ali Moni","raw_affiliation_strings":["School of Biomedical Science, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0756-1006","affiliations":[{"raw_affiliation_string":"School of Biomedical Science, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044484641"],"corresponding_institution_ids":["https://openalex.org/I2802576217"],"apc_list":null,"apc_paid":null,"fwci":0.1656,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52933134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9952999949455261,"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":0.9952999949455261,"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/biometrics","display_name":"Biometrics","score":0.8405267000198364},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.8389918804168701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7586482763290405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7226323485374451},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6882501244544983},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.6872687339782715},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6721965670585632},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.544213593006134},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5416529774665833},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5235702395439148},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5171196460723877},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5143276453018188},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5094917416572571},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4606182277202606},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.446013480424881},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.2579326033592224}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8405267000198364},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.8389918804168701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7586482763290405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226323485374451},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6882501244544983},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.6872687339782715},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6721965670585632},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.544213593006134},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5416529774665833},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5235702395439148},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5171196460723877},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5143276453018188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5094917416572571},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4606182277202606},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.446013480424881},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2579326033592224},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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:10.7287/peerj.preprints.27363v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.27363v1","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.7287/peerj.preprints.27363v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.27363v1","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W2151970936","https://openalex.org/W2294693339","https://openalex.org/W2557390811","https://openalex.org/W2355560018","https://openalex.org/W2952386695","https://openalex.org/W2759939383","https://openalex.org/W2147209541","https://openalex.org/W3213945064"],"abstract_inverted_index":{"With":[0],"an":[1,40,106,135],"increasing":[2,72],"demand":[3],"for":[4,77,98,113,151],"stringent":[5],"security":[6],"systems,":[7],"automated":[8],"identification":[9],"of":[10,21,101,105,119,129,146,165],"individuals":[11],"based":[12,92],"on":[13,93],"biometric":[14,78],"methods":[15],"has":[16,53,148],"been":[17,149],"a":[18,54,63,85],"major":[19],"focus":[20],"research":[22],"and":[23,56,108],"development":[24],"over":[25,62],"the":[26,99,102,110,127,130,162,166],"last":[27],"decade.":[28],"Biometric":[29],"recognition":[30],"analyses":[31],"unique":[32,57],"physiological":[33],"traits":[34],"or":[35,49],"behavioral":[36],"characteristics,":[37],"such":[38],"as":[39],"iris,":[41],"face,":[42],"retina,":[43],"voice,":[44],"fingerprint,":[45],"hand":[46],"geometry,":[47],"keystrokes":[48],"gait.":[50],"The":[51,117],"iris":[52,107,114,131,136],"complex":[55],"structure":[58],"that":[59,67],"remains":[60],"stable":[61],"person's":[64],"lifetime,":[65],"features":[66,104],"have":[68],"led":[69],"to":[70,125],"its":[71,75],"interest":[73],"in":[74],"use":[76],"recognition.":[79],"In":[80],"this":[81],"study,":[82],"we":[83],"proposed":[84,167],"technique":[86],"incorporating":[87],"Principal":[88],"Component":[89],"Analysis":[90],"(PCA)":[91],"Discrete":[94],"Wavelet":[95],"Transformation":[96],"(DWT)":[97],"extraction":[100,154],"optimum":[103],"reducing":[109],"runtime":[111],"needed":[112],"templates":[115],"classification.":[116],"idea":[118],"using":[120,156],"DWT":[121,133],"behind":[122],"PCA":[123],"is":[124],"reduce":[126],"resolution":[128],"template.":[132],"converts":[134],"image":[137],"into":[138],"four":[139,147],"frequency":[140,143],"sub-bands.":[141],"One":[142],"sub-band":[144],"instead":[145],"used":[150],"further":[152],"feature":[153],"by":[155],"PCA.":[157],"Our":[158],"experimental":[159],"evaluation":[160],"demonstrates":[161],"efficient":[163],"performance":[164],"technique.":[168]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-25T14:43:58.451035","created_date":"2025-10-10T00:00:00"}