{"id":"https://openalex.org/W2127611869","doi":"https://doi.org/10.1109/isspa.2007.4555358","title":"Feature extraction using discrete cosine transform for face recognition","display_name":"Feature extraction using discrete cosine transform for face recognition","publication_year":2007,"publication_date":"2007-02-01","ids":{"openalex":"https://openalex.org/W2127611869","doi":"https://doi.org/10.1109/isspa.2007.4555358","mag":"2127611869"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2007.4555358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2007.4555358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 9th International Symposium on Signal Processing and Its Applications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039935594","display_name":"Saeed Dabbaghchian","orcid":"https://orcid.org/0000-0002-8991-1016"},"institutions":[{"id":"https://openalex.org/I41832843","display_name":"University of Tabriz","ror":"https://ror.org/01papkj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I41832843"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"S. Dabbaghchian","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran","Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran","institution_ids":["https://openalex.org/I41832843"]},{"raw_affiliation_string":"Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz","institution_ids":["https://openalex.org/I41832843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027961566","display_name":"Ali Aghagolzadeh","orcid":"https://orcid.org/0000-0002-6999-3464"},"institutions":[{"id":"https://openalex.org/I41832843","display_name":"University of Tabriz","ror":"https://ror.org/01papkj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I41832843"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"A. Aghagolzadeh","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran","Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran","institution_ids":["https://openalex.org/I41832843"]},{"raw_affiliation_string":"Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz","institution_ids":["https://openalex.org/I41832843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004250877","display_name":"Mohammad\u2010Shahram Moin","orcid":"https://orcid.org/0000-0002-3472-3210"},"institutions":[{"id":"https://openalex.org/I4210102178","display_name":"ICT Research Institute","ror":"https://ror.org/01a3g2z22","country_code":"IR","type":"facility","lineage":["https://openalex.org/I4210102178"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M. S. Moin","raw_affiliation_strings":["Iran Telecommunication Research Center, Tehran, Iran","Iranian Telecommunication Research Center, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iran Telecommunication Research Center, Tehran, Iran","institution_ids":["https://openalex.org/I4210102178"]},{"raw_affiliation_string":"Iranian Telecommunication Research Center, Tehran, Iran","institution_ids":["https://openalex.org/I4210102178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9957000017166138,"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/T11448","display_name":"Face recognition and analysis","score":0.9854999780654907,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.9155160188674927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6858310699462891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6376530528068542},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6342294216156006},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6248738169670105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6222372055053711},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6054284572601318},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5071239471435547},{"id":"https://openalex.org/keywords/modified-discrete-cosine-transform","display_name":"Modified discrete cosine transform","score":0.49074849486351013},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4718111753463745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3252582550048828},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.25183093547821045},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1664479374885559}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.9155160188674927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6858310699462891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6376530528068542},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6342294216156006},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6248738169670105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6222372055053711},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6054284572601318},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5071239471435547},{"id":"https://openalex.org/C28726691","wikidata":"https://www.wikidata.org/wiki/Q1268231","display_name":"Modified discrete cosine transform","level":5,"score":0.49074849486351013},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4718111753463745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3252582550048828},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.25183093547821045},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1664479374885559},{"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/isspa.2007.4555358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2007.4555358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 9th International Symposium on Signal Processing and Its Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1498915505","https://openalex.org/W1975188435","https://openalex.org/W1989702938","https://openalex.org/W2029364831","https://openalex.org/W2031614119","https://openalex.org/W2054749674","https://openalex.org/W2072540517","https://openalex.org/W2115689562","https://openalex.org/W2119290095","https://openalex.org/W2121647436","https://openalex.org/W2125936497","https://openalex.org/W2138451337","https://openalex.org/W2141513064","https://openalex.org/W2168162153","https://openalex.org/W4232674561","https://openalex.org/W6657708721","https://openalex.org/W6678043173"],"related_works":["https://openalex.org/W2565123265","https://openalex.org/W2350751952","https://openalex.org/W2090071970","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W3147024994","https://openalex.org/W2112852877","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214"],"abstract_inverted_index":{"A":[0],"simple":[1],"statistical":[2],"analysis":[3],"has":[4,56],"been":[5,57,68],"used":[6],"to":[7,41],"select":[8],"the":[9,13,18,27,50,73,80,83],"discriminant":[10],"coefficients":[11,36,55],"of":[12,53,82],"discrete":[14],"cosine":[15],"transform":[16],"for":[17,35],"face":[19,77],"recognition.":[20],"The":[21],"proposed":[22,61,84],"procedure":[23],"is":[24],"different":[25,43],"from":[26],"traditional":[28],"zigzag":[29],"or":[30],"zonal":[31],"masking.":[32],"It":[33],"searches":[34],"which":[37],"have":[38,67],"more":[39],"ability":[40],"discriminate":[42],"classes":[44],"better":[45],"than":[46],"other":[47],"coefficients.":[48],"Also":[49],"extensive":[51],"span":[52],"DCT":[54],"concerned":[58],"in":[59],"our":[60],"algorithm.":[62],"Various":[63],"coefficient":[64],"selection":[65],"algorithms":[66],"compared.":[69],"Simulation":[70],"results":[71],"on":[72],"ORL":[74],"and":[75],"Yale":[76],"database":[78],"show":[79],"success":[81],"approach.":[85]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
