{"id":"https://openalex.org/W4382050774","doi":"https://doi.org/10.1109/meco58584.2023.10154993","title":"A Noble Approach to 2D Ear Recognition System using Hybrid Transfer Learning","display_name":"A Noble Approach to 2D Ear Recognition System using Hybrid Transfer Learning","publication_year":2023,"publication_date":"2023-06-06","ids":{"openalex":"https://openalex.org/W4382050774","doi":"https://doi.org/10.1109/meco58584.2023.10154993"},"language":"en","primary_location":{"id":"doi:10.1109/meco58584.2023.10154993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco58584.2023.10154993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","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/A5080768264","display_name":"Ravishankar Mehta","orcid":"https://orcid.org/0000-0001-7265-2129"},"institutions":[{"id":"https://openalex.org/I187761245","display_name":"National Institute of Technology Jamshedpur","ror":"https://ror.org/01sebzx27","country_code":"IN","type":"education","lineage":["https://openalex.org/I187761245"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravishankar Mehta","raw_affiliation_strings":["National Institute of Technology,Machine Vision and Intelligence Lab,Jamshedpur,India","Machine Vision and Intelligence Lab, National Institute of Technology, Jamshedpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology,Machine Vision and Intelligence Lab,Jamshedpur,India","institution_ids":["https://openalex.org/I187761245"]},{"raw_affiliation_string":"Machine Vision and Intelligence Lab, National Institute of Technology, Jamshedpur, India","institution_ids":["https://openalex.org/I187761245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041587191","display_name":"Akbar Sheikh-Akbari","orcid":"https://orcid.org/0000-0003-0677-7083"},"institutions":[{"id":"https://openalex.org/I84027002","display_name":"Leeds Beckett University","ror":"https://ror.org/02xsh5r57","country_code":"GB","type":"education","lineage":["https://openalex.org/I84027002"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Akbar Sheikh-Akbari","raw_affiliation_strings":["Leeds Beckett University, School of Built, Env. Eng. & Computing,Leeds,U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leeds Beckett University, School of Built, Env. Eng. & Computing,Leeds,U.K","institution_ids":["https://openalex.org/I84027002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014940645","display_name":"Koushlendra Kumar Singh","orcid":"https://orcid.org/0000-0002-5614-6098"},"institutions":[{"id":"https://openalex.org/I187761245","display_name":"National Institute of Technology Jamshedpur","ror":"https://ror.org/01sebzx27","country_code":"IN","type":"education","lineage":["https://openalex.org/I187761245"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Koushlendra K. Singh","raw_affiliation_strings":["National Institute of Technology,Machine Vision and Intelligence Lab,Jamshedpur,India","Machine Vision and Intelligence Lab, National Institute of Technology, Jamshedpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology,Machine Vision and Intelligence Lab,Jamshedpur,India","institution_ids":["https://openalex.org/I187761245"]},{"raw_affiliation_string":"Machine Vision and Intelligence Lab, National Institute of Technology, Jamshedpur, India","institution_ids":["https://openalex.org/I187761245"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0324,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87513928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"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/T11448","display_name":"Face recognition and analysis","score":0.988099992275238,"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/computer-science","display_name":"Computer science","score":0.8048285245895386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7864974737167358},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7790549993515015},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7053210139274597},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6720292568206787},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6373323798179626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6371273994445801},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5035752654075623},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49521103501319885},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4463097155094147},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44323277473449707},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4384956657886505},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3937908709049225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3822096884250641}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8048285245895386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7864974737167358},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7790549993515015},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7053210139274597},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6720292568206787},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6373323798179626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6371273994445801},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5035752654075623},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49521103501319885},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4463097155094147},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44323277473449707},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4384956657886505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3937908709049225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3822096884250641},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/meco58584.2023.10154993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco58584.2023.10154993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.leedsbeckett.ac.uk:9639","is_oa":false,"landing_page_url":"https://eprints.leedsbeckett.ac.uk/view/creators/Mehta=3AR=3A=3A.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306400805","display_name":"Leeds Beckett Repository (Leeds Beckett University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84027002","host_organization_name":"Leeds Beckett University","host_organization_lineage":["https://openalex.org/I84027002"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2104691754","https://openalex.org/W2148820067","https://openalex.org/W2163302275","https://openalex.org/W2163605009","https://openalex.org/W2171333143","https://openalex.org/W2551082533","https://openalex.org/W2607432142","https://openalex.org/W2730497260","https://openalex.org/W2777157629","https://openalex.org/W2896842408","https://openalex.org/W2963049950","https://openalex.org/W2976365704","https://openalex.org/W3033639209","https://openalex.org/W3088820816","https://openalex.org/W3096887077","https://openalex.org/W3105744362","https://openalex.org/W4206722582","https://openalex.org/W4229004243","https://openalex.org/W4285816509","https://openalex.org/W6684149856","https://openalex.org/W6684191040","https://openalex.org/W6685125189"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W3201126466","https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W2969228573"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNNs)":[3],"have":[4,26,88,179],"emerged":[5],"as":[6,107],"a":[7,46,108,129],"popular":[8],"choice":[9],"of":[10,33,72,78,131,138,159,165,171],"researchers":[11],"for":[12,111],"their":[13,116],"robust":[14],"feature":[15],"extraction":[16],"and":[17,42,60,63,75,141],"information":[18],"mining":[19],"capability.":[20],"In":[21,82],"the":[22,48,70,92,101,113,151,155,163,166,172,183],"last":[23],"decades,":[24],"CNNs":[25],"depicted":[27],"impressive":[28],"performance":[29],"on":[30,124],"various":[31],"applications":[32,62],"computer":[34],"vision":[35],"tasks":[36],"like":[37],"object":[38],"detection,":[39],"image":[40,43],"segmentation,":[41],"classification.":[44],"As":[45],"consequence,":[47],"ear-based":[49],"recognition":[50,157],"system":[51],"has":[52],"not":[53],"gained":[54],"many":[55],"benefits":[56],"from":[57],"deep":[58],"learning":[59,86],"CNN-based":[61],"is":[64,122,147],"still":[65],"lacking":[66],"behind":[67],"due":[68],"to":[69,91,149],"availability":[71],"sufficient":[73],"data":[74],"varying":[76],"conditions":[77],"captured":[79],"sample":[80],"images.":[81,118],"this":[83],"paper,":[84],"transfer":[85],"techniques":[87],"been":[89,180],"applied":[90],"well-known":[93],"convolutional":[94],"neural":[95],"network":[96],"model":[97,121,146,174],"VGG16":[98],"integrated":[99],"with":[100,134,154,175],"support":[102],"vector":[103],"machine(SVM)":[104],"that":[105],"acts":[106],"hybrid":[109],"algorithm":[110],"recognizing":[112],"person":[114],"using":[115],"ear":[117,126,152],"The":[119,144],"proposed":[120,145,167,173],"validated":[123],"an":[125],"dataset":[127],"containing":[128],"total":[130],"2600":[132],"images":[133,153],"variability":[135],"in":[136,182],"terms":[137],"pose,":[139],"rotation,":[140],"illumination":[142],"changes.":[143],"able":[148],"classify":[150],"highest":[156],"accuracy":[158],"98.72%.":[160],"To":[161],"show":[162],"effectiveness":[164],"model,":[168],"comparative":[169],"studies":[170],"other":[176],"existing":[177],"methods":[178],"reported":[181],"literature.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}