{"id":"https://openalex.org/W2557293151","doi":"https://doi.org/10.1109/wcsp.2016.7752592","title":"Face recognition from near-infrared images with convolutional neural network","display_name":"Face recognition from near-infrared images with convolutional neural network","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2557293151","doi":"https://doi.org/10.1109/wcsp.2016.7752592","mag":"2557293151"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2016.7752592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2016.7752592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","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/A5100403795","display_name":"Xiaotong Zhang","orcid":"https://orcid.org/0000-0001-7600-7231"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotong Zhang","raw_affiliation_strings":["Chonqging Key Laboratory of Non-linear Circuit and Intelligent Information Processing, Southwest University, China","School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonqging Key Laboratory of Non-linear Circuit and Intelligent Information Processing, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102012008","display_name":"Min Peng","orcid":"https://orcid.org/0000-0001-7445-5567"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Peng","raw_affiliation_strings":["Chonqging Key Laboratory of Non-linear Circuit and Intelligent Information Processing, Southwest University, China","School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonqging Key Laboratory of Non-linear Circuit and Intelligent Information Processing, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107973961","display_name":"Tong Chen","orcid":"https://orcid.org/0000-0001-5302-8849"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Chen","raw_affiliation_strings":["Chonqging Key Laboratory of Non-linear Circuit and Intelligent Information Processing, Southwest University, China","School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonqging Key Laboratory of Non-linear Circuit and Intelligent Information Processing, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":1.183,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.85853699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11448","display_name":"Face recognition and analysis","score":0.9965999722480774,"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":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7973582744598389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7699751853942871},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7577425241470337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7464579939842224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7071693539619446},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5863102674484253},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.5467393398284912},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5172670483589172},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5169574618339539},{"id":"https://openalex.org/keywords/zernike-polynomials","display_name":"Zernike polynomials","score":0.4392760992050171},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4322763681411743},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.4153837263584137},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.24393251538276672},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.21398144960403442},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1964767873287201}],"concepts":[{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7973582744598389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7699751853942871},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7577425241470337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7464579939842224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7071693539619446},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5863102674484253},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.5467393398284912},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5172670483589172},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5169574618339539},{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.4392760992050171},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4322763681411743},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.4153837263584137},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.24393251538276672},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.21398144960403442},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1964767873287201},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2016.7752592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2016.7752592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","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":27,"referenced_works":["https://openalex.org/W1971359334","https://openalex.org/W1999533590","https://openalex.org/W2025035924","https://openalex.org/W2030270830","https://openalex.org/W2057516871","https://openalex.org/W2063667416","https://openalex.org/W2064796926","https://openalex.org/W2076063813","https://openalex.org/W2093922090","https://openalex.org/W2097117768","https://openalex.org/W2097889461","https://openalex.org/W2102605133","https://openalex.org/W2103056131","https://openalex.org/W2112796928","https://openalex.org/W2117130368","https://openalex.org/W2126074213","https://openalex.org/W2127846810","https://openalex.org/W2128033389","https://openalex.org/W2143612262","https://openalex.org/W2144143728","https://openalex.org/W2155273149","https://openalex.org/W2163605009","https://openalex.org/W2171982656","https://openalex.org/W2400213789","https://openalex.org/W3122383523","https://openalex.org/W6658231184","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W1989910702","https://openalex.org/W1589677080","https://openalex.org/W1999808563","https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W4387163326","https://openalex.org/W2040482211","https://openalex.org/W2492432316","https://openalex.org/W2041800626","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Owing":[0],"to":[1,68],"the":[2,21,29,58,61,90],"vigorous":[3],"development":[4],"of":[5],"face":[6,10,26,45],"recognition,":[7],"near-infrared":[8],"(NIR)":[9],"recognition":[11,27,86,92],"technology":[12],"with":[13,89],"light":[14],"insensitivity":[15],"has":[16,84],"attracted":[17],"increasing":[18],"attention.":[19],"However,":[20],"traditional":[22,91],"methods":[23],"for":[24,43],"NIR":[25,44],"feature":[28,31],"hand-crafted":[30],"design.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36],"present":[37],"a":[38,49],"convolutional":[39],"neural":[40,52],"network":[41,53],"(CNN)":[42],"recognition.":[46],"CNN":[47,82],"is":[48],"multiplayer":[50],"feed-forward":[51],"which":[54],"can":[55],"automatically":[56],"learn":[57],"features":[59],"from":[60],"raw":[62],"images":[63],"and":[64,71,102],"provide":[65],"partial":[66],"invariance":[67],"illumination,":[69],"scale":[70],"deformation.":[72],"Experimental":[73],"results":[74],"on":[75],"PolyU-NIRFD":[76],"database":[77],"show":[78],"that":[79],"our":[80],"proposed":[81],"architecture":[83],"higher":[85],"rate":[87],"compared":[88],"methods,":[93],"such":[94],"as":[95],"Gabor-directional":[96],"binary":[97],"code":[98],"(GDBC),":[99],"Zernike":[100],"moments":[101],"Hermite":[103],"kernels":[104],"(ZMHK).":[105]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}