{"id":"https://openalex.org/W2810109768","doi":"https://doi.org/10.1109/fskd.2017.8393119","title":"Face recognition based on SIFT and LBP algorithm for decision level information fusion","display_name":"Face recognition based on SIFT and LBP algorithm for decision level information fusion","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2810109768","doi":"https://doi.org/10.1109/fskd.2017.8393119","mag":"2810109768"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393119","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":"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/A5101935395","display_name":"Tong Gao","orcid":"https://orcid.org/0009-0006-6706-6284"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Gao","raw_affiliation_strings":["College of Electronic Information Engineering, Inner Mongolia University, Hohhot, CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Information Engineering, Inner Mongolia University, Hohhot, CHINA","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029166330","display_name":"Xuemei Lei","orcid":"https://orcid.org/0000-0003-0973-0491"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue-mei Lei","raw_affiliation_strings":["College of Electronic Information Engineering, Inner Mongolia University, Hohhot, CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Information Engineering, Inner Mongolia University, Hohhot, CHINA","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100727084","display_name":"Wei Hu","orcid":"https://orcid.org/0000-0003-3635-6335"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hu","raw_affiliation_strings":["College of Electronic Information Engineering, Inner Mongolia University, Hohhot, CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Information Engineering, Inner Mongolia University, Hohhot, CHINA","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":0.2388,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64914689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":null,"first_page":"2242","last_page":"2246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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":0.998199999332428,"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":0.9890999794006348,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9781000018119812,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8398079872131348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7158123254776001},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7056622505187988},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6927783489227295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6724576950073242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6625350713729858},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6443785429000854},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5144486427307129},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.5123740434646606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42622876167297363},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41157180070877075},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.24062487483024597}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8398079872131348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7158123254776001},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7056622505187988},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6927783489227295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6724576950073242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6625350713729858},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6443785429000854},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5144486427307129},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.5123740434646606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42622876167297363},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41157180070877075},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.24062487483024597},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393119","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":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309622","display_name":"Harvard University","ror":"https://ror.org/03vek6s52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1545641654","https://openalex.org/W1967475838","https://openalex.org/W2061614302","https://openalex.org/W2064733273","https://openalex.org/W2105845337","https://openalex.org/W2108728387","https://openalex.org/W2113341759","https://openalex.org/W2150796457","https://openalex.org/W2156165250","https://openalex.org/W2162601563","https://openalex.org/W2797148637"],"related_works":["https://openalex.org/W1995039490","https://openalex.org/W2049930962","https://openalex.org/W2116423617","https://openalex.org/W2182646186","https://openalex.org/W2003054897","https://openalex.org/W2077878713","https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2370292837","https://openalex.org/W2985118265"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,8,16,19,26,35,48,56,63,67,81,92,104,111,116],"SIFT":[4,29],"feature":[5,118],"which":[6],"has":[7,106],"scale":[9],"rotation":[10],"invariant":[11],"are":[12],"used":[13,39],"to":[14,24,40],"recognize":[15],"face.":[17,68],"At":[18],"same":[20],"time,":[21],"in":[22,97,110],"order":[23],"improve":[25,91],"robustness":[27,93],"of":[28,66,94],"under":[30],"different":[31],"expressions":[32],"and":[33,59,76,78],"gestures,":[34],"fisher":[36],"discriminant":[37],"is":[38,55],"perform":[41],"face":[42,95],"matching.":[43],"Taking":[44],"into":[45],"account":[46],"that":[47,103],"LBP":[49],"operator":[50],"with":[51,115],"light-insensitive":[52],"dimension":[53],"reduction":[54],"global":[57],"feature,":[58],"it":[60,89],"will":[61,90],"reflect":[62],"overall":[64],"characteristics":[65],"The":[69],"two":[70],"algorithms":[71],"have":[72],"their":[73],"own":[74],"advantages":[75],"disadvantages,":[77],"finally":[79],"use":[80],"improved":[82],"DS-evidence":[83],"theory":[84],"for":[85],"decision-level":[86],"information":[87],"fusion,":[88],"recognition":[96,112],"complex":[98],"conditions.":[99],"Experimental":[100],"results":[101],"show":[102],"method":[105],"a":[107],"certain":[108],"improvement":[109],"rate":[113],"compared":[114],"single":[117],"descriptors.":[119]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}