{"id":"https://openalex.org/W1957894958","doi":"https://doi.org/10.1109/iwssip.2015.7314211","title":"Face recognition using a fourier polar based approach","display_name":"Face recognition using a fourier polar based approach","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1957894958","doi":"https://doi.org/10.1109/iwssip.2015.7314211","mag":"1957894958"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip.2015.7314211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2015.7314211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5015114867","display_name":"Dany Ishac","orcid":null},"institutions":[{"id":"https://openalex.org/I168913471","display_name":"University of Balamand","ror":"https://ror.org/01xvwxv41","country_code":"LB","type":"education","lineage":["https://openalex.org/I168913471"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Dany Ishac","raw_affiliation_strings":["Dept. of Electrical Eng., University of Balamand, Tripoli, Lebanon","University of Balamand, Dept. of Electrical Eng., Tripoli, Lebanon University of Balamand, Dept. of Computer Eng., Tripoli, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Eng., University of Balamand, Tripoli, Lebanon","institution_ids":["https://openalex.org/I168913471"]},{"raw_affiliation_string":"University of Balamand, Dept. of Electrical Eng., Tripoli, Lebanon University of Balamand, Dept. of Computer Eng., Tripoli, Lebanon","institution_ids":["https://openalex.org/I168913471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025007963","display_name":"Grace Yammine","orcid":null},"institutions":[{"id":"https://openalex.org/I168913471","display_name":"University of Balamand","ror":"https://ror.org/01xvwxv41","country_code":"LB","type":"education","lineage":["https://openalex.org/I168913471"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Grace Yammine","raw_affiliation_strings":["Dept. of Electrical Eng., University of Balamand, Tripoli, Lebanon","University of Balamand, Dept. of Electrical Eng., Tripoli, Lebanon University of Balamand, Dept. of Computer Eng., Tripoli, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Eng., University of Balamand, Tripoli, Lebanon","institution_ids":["https://openalex.org/I168913471"]},{"raw_affiliation_string":"University of Balamand, Dept. of Electrical Eng., Tripoli, Lebanon University of Balamand, Dept. of Computer Eng., Tripoli, Lebanon","institution_ids":["https://openalex.org/I168913471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039912757","display_name":"Antoine Abche","orcid":null},"institutions":[{"id":"https://openalex.org/I168913471","display_name":"University of Balamand","ror":"https://ror.org/01xvwxv41","country_code":"LB","type":"education","lineage":["https://openalex.org/I168913471"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Antoine Abche","raw_affiliation_strings":["Dept. of Electrical Eng., University of Balamand, Tripoli, Lebanon","University of Balamand, Dept. of Electrical Eng., Tripoli, Lebanon University of Balamand, Dept. of Computer Eng., Tripoli, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Eng., University of Balamand, Tripoli, Lebanon","institution_ids":["https://openalex.org/I168913471"]},{"raw_affiliation_string":"University of Balamand, Dept. of Electrical Eng., Tripoli, Lebanon University of Balamand, Dept. of Computer Eng., Tripoli, Lebanon","institution_ids":["https://openalex.org/I168913471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168913471"],"apc_list":null,"apc_paid":null,"fwci":0.1352,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40718293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8371","issue":null,"first_page":"200","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9916999936103821,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7768154144287109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7182492613792419},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7151781320571899},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6789211630821228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6571313142776489},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6540303230285645},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6378861665725708},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5825471878051758},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.52665776014328},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.47428780794143677},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4732154905796051},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4564218521118164},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.43018943071365356},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42141324281692505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26197320222854614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12693452835083008}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7768154144287109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182492613792419},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7151781320571899},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6789211630821228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6571313142776489},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6540303230285645},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6378861665725708},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5825471878051758},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.52665776014328},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.47428780794143677},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4732154905796051},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4564218521118164},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.43018943071365356},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42141324281692505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26197320222854614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12693452835083008},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/iwssip.2015.7314211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2015.7314211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","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":21,"referenced_works":["https://openalex.org/W91887116","https://openalex.org/W325334352","https://openalex.org/W1592179033","https://openalex.org/W1990053431","https://openalex.org/W1998165562","https://openalex.org/W2036070282","https://openalex.org/W2037740079","https://openalex.org/W2093278290","https://openalex.org/W2098693229","https://openalex.org/W2102544846","https://openalex.org/W2116888754","https://openalex.org/W2121647436","https://openalex.org/W2130105873","https://openalex.org/W2146474141","https://openalex.org/W2155491393","https://openalex.org/W2334248800","https://openalex.org/W3195234955","https://openalex.org/W4252813286","https://openalex.org/W6611385304","https://openalex.org/W6674764012","https://openalex.org/W6799798688"],"related_works":["https://openalex.org/W1655720158","https://openalex.org/W2369361542","https://openalex.org/W1499828956","https://openalex.org/W647759170","https://openalex.org/W2366854666","https://openalex.org/W2492925340","https://openalex.org/W2595523213","https://openalex.org/W2006176066","https://openalex.org/W103088352","https://openalex.org/W2900275675"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"a":[3,70,74,107],"face":[4],"recognition":[5,108],"approach":[6,58],"for":[7,77],"human":[8],"identification":[9],"is":[10,13,59,93,112,120],"proposed.":[11],"It":[12],"based":[14],"on":[15,26],"the":[16,21,27,31,34,38,42,47,51,81,84,90,99,103,115],"Discrete":[17],"Fourier":[18],"Transform":[19],"of":[20,30,33,53,83,86,109,117],"original":[22],"spatial":[23],"image":[24],"and":[25,106],"polar":[28],"mapping":[29],"spectrum":[32],"latter":[35],"image.":[36],"While":[37],"first":[39],"step":[40,49],"eliminates":[41],"translation's":[43],"effect":[44,52,82],"between":[45],"faces,":[46],"second":[48],"minimizes":[50],"any":[54],"face's":[55],"rotation.":[56],"The":[57,95],"evaluated":[60],"by":[61],"studying":[62],"its":[63],"performance":[64],"with":[65],"other":[66,104],"existing":[67],"techniques":[68,105],"using":[69],"correlation":[71],"coefficient":[72],"as":[73,114],"similarity":[75],"measure":[76],"comparison":[78],"purposes.":[79],"Besides,":[80],"number":[85,116],"images":[87,119],"used":[88],"in":[89],"training":[91,118],"procedure":[92],"studied.":[94],"results":[96],"show":[97],"that":[98],"proposed":[100],"technique":[101],"outperforms":[102],"100":[110],"percent":[111],"possible":[113],"increased.":[121]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}