{"id":"https://openalex.org/W2079286645","doi":"https://doi.org/10.1109/icdsp.2014.6900727","title":"A simplified feature line approach for face recognition","display_name":"A simplified feature line approach for face recognition","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2079286645","doi":"https://doi.org/10.1109/icdsp.2014.6900727","mag":"2079286645"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2014.6900727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2014.6900727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 19th International Conference on Digital Signal Processing","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/A5100422377","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-8182-2852"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["National ASIC System Engineering Research Center, Southeast University, Nanjing, Jiangsu, China","National ASIC System Engineering Research Center Southeast University Nanjing Jiangsu 210096 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National ASIC System Engineering Research Center, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National ASIC System Engineering Research Center Southeast University Nanjing Jiangsu 210096 China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100838138","display_name":"Qian Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Tian","raw_affiliation_strings":["National ASIC System Engineering Research Center, Southeast University, Nanjing, Jiangsu, China","National ASIC System Engineering Research Center Southeast University Nanjing Jiangsu 210096 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National ASIC System Engineering Research Center, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National ASIC System Engineering Research Center Southeast University Nanjing Jiangsu 210096 China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063078131","display_name":"Haiyan Xu","orcid":"https://orcid.org/0000-0002-0535-1702"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Xu","raw_affiliation_strings":["National ASIC System Engineering Research Center, Southeast University, Nanjing, Jiangsu, China","National ASIC System Engineering Research Center Southeast University Nanjing Jiangsu 210096 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National ASIC System Engineering Research Center, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National ASIC System Engineering Research Center Southeast University Nanjing Jiangsu 210096 China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051112947","display_name":"Jianhui Wu","orcid":"https://orcid.org/0000-0002-7878-498X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Wu","raw_affiliation_strings":["National ASIC System Engineering Research Center, Southeast University, Nanjing, Jiangsu, China","National ASIC System Engineering Research Center Southeast University Nanjing Jiangsu 210096 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National ASIC System Engineering Research Center, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National ASIC System Engineering Research Center Southeast University Nanjing Jiangsu 210096 China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13967486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"556","last_page":"561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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/T10828","display_name":"Biometric Identification and Security","score":0.9886999726295471,"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":0.9753999710083008,"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":0.7757099866867065},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7200965285301208},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6821363568305969},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6585227847099304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6263924837112427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5403620600700378},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.49648910760879517},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47232455015182495},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45310965180397034},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.44369977712631226},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41322648525238037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36486929655075073},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3355730175971985},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15072527527809143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757099866867065},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7200965285301208},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6821363568305969},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6585227847099304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6263924837112427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5403620600700378},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.49648910760879517},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47232455015182495},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45310965180397034},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.44369977712631226},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41322648525238037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36486929655075073},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3355730175971985},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15072527527809143},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2014.6900727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2014.6900727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 19th International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1591806955","https://openalex.org/W1981914622","https://openalex.org/W1986340965","https://openalex.org/W1993962865","https://openalex.org/W2012352340","https://openalex.org/W2037549374","https://openalex.org/W2067903825","https://openalex.org/W2100281586","https://openalex.org/W2110458017","https://openalex.org/W2117553576","https://openalex.org/W2120100419","https://openalex.org/W2121647436","https://openalex.org/W2138451337","https://openalex.org/W2146047955","https://openalex.org/W2150796457","https://openalex.org/W2154872931","https://openalex.org/W2159548580","https://openalex.org/W2165731615","https://openalex.org/W3141553083","https://openalex.org/W4249292255","https://openalex.org/W6681521150","https://openalex.org/W6682644385"],"related_works":["https://openalex.org/W2785302227","https://openalex.org/W2354127086","https://openalex.org/W4309224981","https://openalex.org/W2519241726","https://openalex.org/W2107754327","https://openalex.org/W3035451850","https://openalex.org/W1976247315","https://openalex.org/W2351157934","https://openalex.org/W1968695676","https://openalex.org/W2985118265"],"abstract_inverted_index":{"For":[0],"wireless":[1],"terminals":[2],"with":[3,19,106],"the":[4,46,66,74,79,107],"low":[5,20],"memory,":[6],"and":[7,22,32,84,113],"limited":[8],"computing":[9],"performance,":[10],"it":[11],"is":[12],"necessary":[13],"to":[14,42,119],"research":[15],"face":[16,39],"recognition":[17,40],"strategies":[18],"complexities":[21],"small":[23],"memory":[24],"requirements.":[25],"The":[26,88],"nearest":[27],"feature":[28,59,82],"line":[29,60],"(NFL)":[30],"classifier":[31],"its":[33,43,114],"extended":[34],"classifiers":[35],"are":[36],"effective":[37],"for":[38],"due":[41],"improvement":[44],"of":[45,49,68,81],"representational":[47],"capacity":[48],"prototype.":[50],"Therefore,":[51],"this":[52],"paper":[53],"proposed":[54],"a":[55],"novel":[56],"classifier-the":[57],"simplified":[58],"(SFL).":[61],"SFL":[62,97],"not":[63],"only":[64],"keeps":[65],"advantages":[67],"NFL,":[69],"but":[70],"also":[71],"significantly":[72],"lowers":[73],"computational":[75],"complexity":[76],"by":[77,110],"reducing":[78],"number":[80],"lines,":[83],"acquires":[85],"better":[86,99],"robustness.":[87],"experimental":[89],"results":[90],"based":[91],"on":[92],"real-world":[93],"datasets":[94],"show":[95],"that":[96],"performs":[98],"than":[100],"NFL":[101],"in":[102],"all":[103],"experiment":[104],"points,":[105],"accuracy":[108],"improved":[109],"about":[111],"5%-20%":[112],"test":[115],"duration":[116],"cut":[117],"down":[118],"20%.":[120]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}