乐胖代购免代理版

{"id":"https://openalex.org/W4250491368","doi":"https://doi.org/10.1504/ijbm.2019.096568","title":"A novel discriminant multiscale representation for ear recognition","display_name":"A novel discriminant multiscale representation for ear recognition","publication_year":2018,"publication_date":"2018-12-06","ids":{"openalex":"https://openalex.org/W4250491368","doi":"https://doi.org/10.1504/ijbm.2019.096568"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijbm.2019.096568","pdf_url":null,"source":{"id":"https://openalex.org/S113607270","display_name":"International Journal of Biometrics","issn_l":"1755-8301","issn":["1755-8301","1755-831X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.1504/ijbm.2019.096568","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090701248","display_name":"Hakim Doghmane","orcid":"https://orcid.org/0000-0002-1425-3071"},"institutions":[{"id":"https://openalex.org/I4210097536","display_name":"University of Guelma","ror":"https://ror.org/00xe6p546","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210097536"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Hakim Doghmane","raw_affiliation_strings":["Laboratory of Inverse Problems, Modeling, Information and Systems (PIMIS), Department of Electronics and Telecommunications, Faculty of Sciences and Technology, Guelma University, Guelma, Algeria"],"affiliations":[{"raw_affiliation_string":"Laboratory of Inverse Problems, Modeling, Information and Systems (PIMIS), Department of Electronics and Telecommunications, Faculty of Sciences and Technology, Guelma University, Guelma, Algeria","institution_ids":["https://openalex.org/I4210097536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022632222","display_name":"Abdelhani Boukrouche","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097536","display_name":"University of Guelma","ror":"https://ror.org/00xe6p546","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210097536"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Abdelhani Boukrouche","raw_affiliation_strings":["Laboratory of Inverse Problems, Modeling, Information and Systems (PIMIS), Department of Electronics and Telecommunications, Faculty of Sciences and Technology, Guelma University, Guelma, Algeria"],"affiliations":[{"raw_affiliation_string":"Laboratory of Inverse Problems, Modeling, Information and Systems (PIMIS), Department of Electronics and Telecommunications, Faculty of Sciences and Technology, Guelma University, Guelma, Algeria","institution_ids":["https://openalex.org/I4210097536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074810075","display_name":"Larbi Boubchir","orcid":"https://orcid.org/0000-0002-5668-6801"},"institutions":[{"id":"https://openalex.org/I48825208","display_name":"Universit\u00e9 Paris 8","ror":"https://ror.org/04wez5e68","country_code":"FR","type":"education","lineage":["https://openalex.org/I48825208"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Larbi Boubchir","raw_affiliation_strings":["LIASD Research Lab., University of Paris 8, 2 Rue de la Libert\u00e9, 93526 Saint-Denis Cedex, France"],"affiliations":[{"raw_affiliation_string":"LIASD Research Lab., University of Paris 8, 2 Rue de la Libert\u00e9, 93526 Saint-Denis Cedex, France","institution_ids":["https://openalex.org/I48825208"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.309,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.709395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":83},"biblio":{"volume":"11","issue":"1","first_page":"50","last_page":"50"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9929,"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":0.9929,"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/representation","display_name":"Representation","score":0.6211449}],"concepts":[{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.687027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6845699},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6211449},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5932584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.56582546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.56487614},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37976065},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3270098},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.09595549},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.05404681},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijbm.2019.096568","pdf_url":null,"source":{"id":"https://openalex.org/S113607270","display_name":"International Journal of Biometrics","issn_l":"1755-8301","issn":["1755-8301","1755-831X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijbm.2019.096568","pdf_url":null,"source":{"id":"https://openalex.org/S113607270","display_name":"International Journal of Biometrics","issn_l":"1755-8301","issn":["1755-8301","1755-831X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.77,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3147024994","https://openalex.org/W3021047493","https://openalex.org/W2374055396","https://openalex.org/W2371177901","https://openalex.org/W2362114017","https://openalex.org/W2350751952","https://openalex.org/W2063246903","https://openalex.org/W2021817983","https://openalex.org/W1999647744","https://openalex.org/W1978302214"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,11,46,50,86,100],"novel":[4],"representation":[5,25,90,107],"for":[6,45],"ear":[7,48,88],"recognition.":[8],"It":[9],"introduces":[10],"new":[12],"alternative":[13],"of":[14,52,61],"binarised":[15,62],"statistical":[16,63],"image":[17,29,64,89],"features":[18,65],"based":[19],"on":[20,110],"multiscale":[21,53],"framework.":[22],"The":[23,34,105,120],"proposed":[24,106],"allows":[26],"capturing":[27],"the":[28,41,59,69,95,128],"content":[30],"at":[31,82],"multiple":[32],"resolutions.":[33],"recognition":[35,122],"accuracy":[36,123],"can":[37],"be":[38],"enhanced":[39],"by":[40,75,93],"following":[42],"steps.":[43],"First,":[44],"given":[47],"image,":[49],"set":[51],"response":[54,71],"images":[55,72],"are":[56,73,80],"derived":[57],"from":[58],"bank":[60],"(B-BSIF)":[66],"filter.":[67],"Second,":[68],"obtained":[70,81,121],"summarised":[74],"concatenating":[76],"their":[77],"histograms,":[78],"which":[79],"each":[83],"scale.":[84],"Finally,":[85],"discriminative":[87],"is":[91,108],"build":[92],"projecting":[94],"above":[96],"mentioned":[97],"histograms":[98],"into":[99],"linear":[101],"discriminant":[102],"analysis":[103],"subspace.":[104],"applied":[109],"three":[111],"public":[112],"databases:":[113],"IIT":[114,116],"Delhi-1,":[115],"Delhi-2":[117],"and":[118],"USTB.":[119],"confirms":[124],"its":[125],"performance":[126],"than":[127],"recent":[129],"existing":[130],"methods.":[131]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4250491368","counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2024-12-30T07:58:09.951083","created_date":"2022-05-12"}