{"id":"https://openalex.org/W2169064667","doi":"https://doi.org/10.1109/icsmc.2007.4413902","title":"Face recognition based on discriminant waveletfaces","display_name":"Face recognition based on discriminant waveletfaces","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2169064667","doi":"https://doi.org/10.1109/icsmc.2007.4413902","mag":"2169064667"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2007.4413902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4413902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","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/A5108751551","display_name":"Limin Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Limin Cui","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085140523","display_name":"Yuan Yan Tang","orcid":"https://orcid.org/0000-0002-6887-130X"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuan Yan Tang","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100655721","display_name":"Fucheng Liao","orcid":"https://orcid.org/0000-0001-5450-1861"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fucheng Liao","raw_affiliation_strings":["Department of Mathematics and Mechanics, Applied Science School, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Mechanics, Applied Science School, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100938515","display_name":"DU Xiu-feng","orcid":null},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiufeng Du","raw_affiliation_strings":["Faculty of Science, Qiqihar University, Qiqihar, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, Qiqihar University, Qiqihar, China","institution_ids":["https://openalex.org/I111971639"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108751551"],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":0.6491,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74465293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"3561","last_page":"3565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976000189781189,"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":0.9976000189781189,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9779000282287598,"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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.8980924487113953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.8391743898391724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7839990854263306},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7692328095436096},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.70585036277771},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6553153395652771},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.6478484869003296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6272035837173462},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5924206972122192},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5492909550666809},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.48919084668159485},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4434257745742798},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.43719053268432617},{"id":"https://openalex.org/keywords/multiple-discriminant-analysis","display_name":"Multiple discriminant analysis","score":0.4353224039077759},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.38559991121292114},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3370232582092285}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8980924487113953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8391743898391724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7839990854263306},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7692328095436096},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.70585036277771},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6553153395652771},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.6478484869003296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6272035837173462},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5924206972122192},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5492909550666809},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.48919084668159485},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4434257745742798},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.43719053268432617},{"id":"https://openalex.org/C58596280","wikidata":"https://www.wikidata.org/wiki/Q28324849","display_name":"Multiple discriminant analysis","level":3,"score":0.4353224039077759},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.38559991121292114},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3370232582092285},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2007.4413902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4413902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1852410626","https://openalex.org/W1988790447","https://openalex.org/W1989702938","https://openalex.org/W2001967598","https://openalex.org/W2012352340","https://openalex.org/W2040179990","https://openalex.org/W2108151885","https://openalex.org/W2115689562","https://openalex.org/W2121647436","https://openalex.org/W2124351082","https://openalex.org/W2127300676","https://openalex.org/W2138451337","https://openalex.org/W2144354855","https://openalex.org/W2146076056","https://openalex.org/W2150455640","https://openalex.org/W2160794449","https://openalex.org/W2165688580","https://openalex.org/W2167049709","https://openalex.org/W6678812539"],"related_works":["https://openalex.org/W2063246903","https://openalex.org/W2141981133","https://openalex.org/W2375208160","https://openalex.org/W1999647744","https://openalex.org/W2350751952","https://openalex.org/W1984472287","https://openalex.org/W1534459252","https://openalex.org/W2128307858","https://openalex.org/W2113920489","https://openalex.org/W1978302214"],"abstract_inverted_index":{"Principal":[0],"Component":[1],"Analysis":[2,7],"(PCA)":[3],"and":[4,17,30,64,107],"Linear":[5],"Discriminant":[6],"(LDA)":[8],"have":[9,22],"been":[10],"widely":[11],"applied":[12],"in":[13],"the":[14,52,66,76,80,92,96,100,110],"face":[15,40,53],"detection":[16],"recognition,":[18],"yet":[19],"still":[20],"they":[21],"some":[23],"limitations":[24],"such":[25],"as":[26],"poor":[27],"discriminative":[28],"power":[29],"large":[31],"computational":[32,111],"load.":[33,112],"This":[34],"paper":[35],"presents":[36],"a":[37],"method":[38],"for":[39,59],"recognition":[41,105],"using":[42],"discriminant":[43,67,94],"waveletfaces.":[44],"Firstly":[45],"wavelet":[46],"transform":[47],"is":[48,73,84],"used":[49],"to":[50,86],"decompose":[51],"image":[54],"into":[55],"different":[56],"frequency":[57],"subbands":[58],"extracting":[60],"feature":[61],"-":[62],"waveletfaces,":[63],"then":[65],"analysis":[68],"of":[69],"PCA":[70],"plus":[71],"LDA":[72],"performed":[74],"on":[75],"chosen":[77],"subband.":[78],"Finally":[79],"nearest":[81],"neighbor":[82],"classifier":[83],"adopted":[85],"make":[87],"decision.":[88],"In":[89],"comparison":[90],"with":[91],"traditional":[93],"analysis,":[95],"experiments":[97],"show":[98],"that":[99],"proposed":[101],"approach":[102],"has":[103],"better":[104],"rate":[106],"can":[108],"reduce":[109]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
