{"id":"https://openalex.org/W2888747523","doi":"https://doi.org/10.1007/s11042-018-6489-0","title":"Fusion of PHOG and LDP local descriptors for kernel-based ear biometric recognition","display_name":"Fusion of PHOG and LDP local descriptors for kernel-based ear biometric recognition","publication_year":2018,"publication_date":"2018-08-25","ids":{"openalex":"https://openalex.org/W2888747523","doi":"https://doi.org/10.1007/s11042-018-6489-0","mag":"2888747523"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-018-6489-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-018-6489-0","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-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/A5069085396","display_name":"Partha Pratim Sarangi","orcid":"https://orcid.org/0000-0002-5628-997X"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Partha Pratim Sarangi","raw_affiliation_strings":["School of Computer Engineering, KIIT University, Bhubaneswar, 751024, India"],"raw_orcid":"https://orcid.org/0000-0002-5628-997X","affiliations":[{"raw_affiliation_string":"School of Computer Engineering, KIIT University, Bhubaneswar, 751024, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030678782","display_name":"Bhabani Shankar Prasad Mishra","orcid":"https://orcid.org/0000-0003-1656-4487"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhabani Shankar Prasad Mishra","raw_affiliation_strings":["School of Computer Engineering, KIIT University, Bhubaneswar, 751024, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, KIIT University, Bhubaneswar, 751024, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001882647","display_name":"Satchidananda Dehuri","orcid":"https://orcid.org/0000-0003-1435-4531"},"institutions":[{"id":"https://openalex.org/I108526665","display_name":"Fakir Mohan University","ror":"https://ror.org/00g0n6t22","country_code":"IN","type":"education","lineage":["https://openalex.org/I108526665"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satchidanand Dehuri","raw_affiliation_strings":["Department of Information and Communication Technology, F. M. University, Balasore, 756019, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, F. M. University, Balasore, 756019, India","institution_ids":["https://openalex.org/I108526665"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069085396"],"corresponding_institution_ids":["https://openalex.org/I67357951"],"apc_list":null,"apc_paid":null,"fwci":2.3275,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.89558756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"78","issue":"8","first_page":"9595","last_page":"9623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9555000066757202,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9545999765396118,"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":0.8036530613899231},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.776809811592102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7677087783813477},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6877651810646057},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.6082541346549988},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5797554850578308},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5641999840736389},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5466620326042175},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5188347101211548},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5081167221069336},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.48895418643951416},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48033013939857483},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4694356918334961},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.4449284076690674},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.43783336877822876},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4230692386627197},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.422894686460495},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4185653328895569},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3094809055328369},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.27063965797424316},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09452620148658752}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8036530613899231},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.776809811592102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7677087783813477},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6877651810646057},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.6082541346549988},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5797554850578308},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5641999840736389},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5466620326042175},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5188347101211548},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5081167221069336},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.48895418643951416},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48033013939857483},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4694356918334961},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.4449284076690674},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.43783336877822876},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4230692386627197},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.422894686460495},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4185653328895569},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3094809055328369},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.27063965797424316},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09452620148658752},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-018-6489-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-018-6489-0","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W277932732","https://openalex.org/W1639684026","https://openalex.org/W1873533840","https://openalex.org/W1918005971","https://openalex.org/W1967418409","https://openalex.org/W1973905787","https://openalex.org/W1989263532","https://openalex.org/W2001412060","https://openalex.org/W2004085376","https://openalex.org/W2008217372","https://openalex.org/W2018713546","https://openalex.org/W2018953191","https://openalex.org/W2019999542","https://openalex.org/W2034279416","https://openalex.org/W2043287655","https://openalex.org/W2048824366","https://openalex.org/W2057747179","https://openalex.org/W2071128523","https://openalex.org/W2071476049","https://openalex.org/W2080744511","https://openalex.org/W2080921153","https://openalex.org/W2097235937","https://openalex.org/W2098747085","https://openalex.org/W2103702232","https://openalex.org/W2111146558","https://openalex.org/W2111872326","https://openalex.org/W2113366599","https://openalex.org/W2122285898","https://openalex.org/W2122880030","https://openalex.org/W2127631308","https://openalex.org/W2129407254","https://openalex.org/W2135589282","https://openalex.org/W2143471461","https://openalex.org/W2145520667","https://openalex.org/W2151103935","https://openalex.org/W2151816796","https://openalex.org/W2153530718","https://openalex.org/W2154683974","https://openalex.org/W2158057578","https://openalex.org/W2161969291","https://openalex.org/W2163303693","https://openalex.org/W2163808566","https://openalex.org/W2163849407","https://openalex.org/W2169403998","https://openalex.org/W2321903034","https://openalex.org/W2438394646","https://openalex.org/W2551082533","https://openalex.org/W2565622179","https://openalex.org/W2738393865","https://openalex.org/W2741675016","https://openalex.org/W2793660234"],"related_works":["https://openalex.org/W1756633271","https://openalex.org/W2129407254","https://openalex.org/W2118859668","https://openalex.org/W2165555277","https://openalex.org/W2120337110","https://openalex.org/W2352052469","https://openalex.org/W2145426848","https://openalex.org/W2128306392","https://openalex.org/W2108806452","https://openalex.org/W2254323784"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}