{"id":"https://openalex.org/W2810187278","doi":"https://doi.org/10.1109/fskd.2017.8393389","title":"Robust lip feature detection in facial images","display_name":"Robust lip feature detection in facial images","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2810187278","doi":"https://doi.org/10.1109/fskd.2017.8393389","mag":"2810187278"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5051882105","display_name":"Binh T. Nguyen","orcid":"https://orcid.org/0000-0001-5249-9702"},"institutions":[{"id":"https://openalex.org/I4210093659","display_name":"University of Transport and Communications","ror":"https://ror.org/006qk6d61","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210093659"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Binh T. H. Nguyen","raw_affiliation_strings":["Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210093659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tran Vu Hieu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093659","display_name":"University of Transport and Communications","ror":"https://ror.org/006qk6d61","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210093659"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tran Vu Hieu","raw_affiliation_strings":["Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210093659"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bui Ngoc Dung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093659","display_name":"University of Transport and Communications","ror":"https://ror.org/006qk6d61","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210093659"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Bui Ngoc Dung","raw_affiliation_strings":["Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210093659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051882105"],"corresponding_institution_ids":["https://openalex.org/I4210093659"],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5264907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"867","last_page":"871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9930999875068665,"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/T11448","display_name":"Face recognition and analysis","score":0.9930999875068665,"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/T10860","display_name":"Speech and Audio Processing","score":0.9908000230789185,"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/T10057","display_name":"Face and Expression Recognition","score":0.9793999791145325,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7847115993499756},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6774106025695801},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6698836088180542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6689459085464478},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5305303335189819},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5169098377227783},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46944543719291687},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4510568380355835}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7847115993499756},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6774106025695801},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6698836088180542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6689459085464478},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5305303335189819},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5169098377227783},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46944543719291687},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4510568380355835},{"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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W3220901","https://openalex.org/W1411340646","https://openalex.org/W1517116353","https://openalex.org/W1669823574","https://openalex.org/W1997011019","https://openalex.org/W2040233137","https://openalex.org/W2072997255","https://openalex.org/W2093788636","https://openalex.org/W2104349150","https://openalex.org/W2117986023","https://openalex.org/W2121804371","https://openalex.org/W2128113947","https://openalex.org/W2133059825","https://openalex.org/W2141290198","https://openalex.org/W2141488077","https://openalex.org/W2143115603","https://openalex.org/W2148468006","https://openalex.org/W2152474030","https://openalex.org/W2168311553","https://openalex.org/W2796936280","https://openalex.org/W3008295092","https://openalex.org/W4232605433","https://openalex.org/W4244494905","https://openalex.org/W6600118991","https://openalex.org/W6637242629","https://openalex.org/W6675856901"],"related_works":["https://openalex.org/W2116423617","https://openalex.org/W2347824352","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2112875849","https://openalex.org/W2132337154","https://openalex.org/W2123759770","https://openalex.org/W2384651879"],"abstract_inverted_index":{"This":[0],"paper":[1],"present":[2],"an":[3],"algorithm":[4,86,101],"to":[5,77],"locate":[6],"four":[7],"lip":[8,42,51,105],"features":[9,43],"in":[10,39],"face":[11],"images.":[12],"Specifically,":[13],"it":[14],"extracts":[15],"the":[16,21,27,30,33,48,68,84,99],"left":[17],"and":[18,23,53,71],"right":[19],"corners,":[20],"upper":[22],"lower":[24],"lips,":[25],"upon":[26],"condition":[28],"that":[29,67,98],"positions":[31,70],"of":[32,50],"two":[34],"eye":[35,69,72],"centers":[36],"are":[37,44],"provided":[38],"advance.":[40],"Four":[41],"located":[45],"by":[46],"taking":[47],"characteristic":[49],"color":[52],"edge":[54],"information":[55],"into":[56],"account.":[57],"Analysis":[58],"conducted":[59],"on":[60,87],"more":[61],"than":[62],"2000":[63],"facial":[64],"images":[65,89],"proved":[66],"distance":[73],"can":[74,102],"be":[75],"utilized":[76],"roughly":[78],"specify":[79],"mouth":[80],"area.":[81],"We":[82],"tested":[83],"proposed":[85,100],"530":[88],"collected":[90],"from":[91],"FERET":[92],"database.":[93],"The":[94],"experimental":[95],"results":[96],"show":[97],"accurately":[103],"detect":[104],"features.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}