{"id":"https://openalex.org/W2597016113","doi":"https://doi.org/10.1109/icacci.2017.8125932","title":"Facial emotion recognition using min-max similarity classifier","display_name":"Facial emotion recognition using min-max similarity classifier","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2597016113","doi":"https://doi.org/10.1109/icacci.2017.8125932","mag":"2597016113"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2017.8125932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8125932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1801.00451","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001303241","display_name":"Olga Krestinskaya","orcid":"https://orcid.org/0000-0001-8038-4558"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":true,"raw_author_name":"Olga Krestinskaya","raw_affiliation_strings":["School of Engineering, Nazarbayev University, Astana"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Nazarbayev University, Astana","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107976098","display_name":"Alex Pappachen James","orcid":"https://orcid.org/0000-0002-2556-8693"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Alex Pappachen James","raw_affiliation_strings":["School of Engineering, Nazarbayev University, Astana"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Nazarbayev University, Astana","institution_ids":["https://openalex.org/I60559429"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001303241"],"corresponding_institution_ids":["https://openalex.org/I60559429"],"apc_list":null,"apc_paid":null,"fwci":1.4798,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.89339048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"752","last_page":"758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9729999899864197,"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/computer-science","display_name":"Computer science","score":0.7859755754470825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7661070823669434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7308087348937988},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6790915727615356},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5732046365737915},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5456295013427734},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5292339324951172},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5138647556304932},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.5019392967224121},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.4870591461658478},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4426172077655792},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4375777542591095},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.43584054708480835},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.4298631250858307},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3535038232803345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1954210102558136},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.16911393404006958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7859755754470825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7661070823669434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7308087348937988},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6790915727615356},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5732046365737915},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5456295013427734},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5292339324951172},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5138647556304932},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.5019392967224121},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.4870591461658478},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4426172077655792},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4375777542591095},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.43584054708480835},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.4298631250858307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3535038232803345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1954210102558136},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.16911393404006958},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icacci.2017.8125932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8125932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1801.00451","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1801.00451","pdf_url":"https://arxiv.org/pdf/1801.00451","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1801.00451","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1801.00451","pdf_url":"https://arxiv.org/pdf/1801.00451","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1580342420","https://openalex.org/W1631012836","https://openalex.org/W1967022116","https://openalex.org/W1974515990","https://openalex.org/W1976049713","https://openalex.org/W1979189411","https://openalex.org/W1986316091","https://openalex.org/W1991672566","https://openalex.org/W1994091491","https://openalex.org/W1996958556","https://openalex.org/W2020949931","https://openalex.org/W2022024883","https://openalex.org/W2026748890","https://openalex.org/W2033773055","https://openalex.org/W2041800626","https://openalex.org/W2069420084","https://openalex.org/W2079920886","https://openalex.org/W2080599172","https://openalex.org/W2080853599","https://openalex.org/W2091328698","https://openalex.org/W2099419611","https://openalex.org/W2113341759","https://openalex.org/W2122598626","https://openalex.org/W2128215200","https://openalex.org/W2134249892","https://openalex.org/W2139900086","https://openalex.org/W2281723898","https://openalex.org/W2308596687","https://openalex.org/W2316725613","https://openalex.org/W2336352498","https://openalex.org/W2337671281","https://openalex.org/W2338425188","https://openalex.org/W2341635611","https://openalex.org/W2534083259","https://openalex.org/W2546815878","https://openalex.org/W2552841680","https://openalex.org/W2556247010","https://openalex.org/W2561355506","https://openalex.org/W2565220024","https://openalex.org/W3208669052","https://openalex.org/W6610017368","https://openalex.org/W6679105518","https://openalex.org/W6802388133"],"related_works":["https://openalex.org/W2945121592","https://openalex.org/W2584926856","https://openalex.org/W2075935902","https://openalex.org/W3000867607","https://openalex.org/W2798351401","https://openalex.org/W2913821117","https://openalex.org/W2729544402","https://openalex.org/W2519456985","https://openalex.org/W2014713986","https://openalex.org/W3214419959"],"abstract_inverted_index":{"Recognition":[0],"of":[1,14,25,46,92,104,124,133],"human":[2],"emotions":[3],"from":[4,34,136],"the":[5,22,35,47,57,90,102,141,157],"imaging":[6],"templates":[7],"is":[8,70,122],"useful":[9],"in":[10,50,54,116],"a":[11,113,117],"wide":[12],"variety":[13],"human-computer":[15],"interaction":[16],"and":[17,41,59,64,82],"intelligent":[18],"systems":[19],"applications.":[20],"However,":[21],"automatic":[23],"recognition":[24,53,69,86,134,154],"facial":[26,39,51,84],"expressions":[27],"using":[28],"image":[29],"template":[30,159],"matching":[31,160],"techniques":[32],"suffer":[33],"natural":[36],"variability":[37],"with":[38,112],"features":[40],"recording":[42],"conditions.":[43],"In":[44,75],"spite":[45],"progress":[48],"achieved":[49],"emotion":[52,68,85,153],"recent":[55],"years,":[56],"effective":[58],"computationally":[60],"simple":[61],"feature":[62,126],"selection":[63],"classification":[65,144],"technique":[66,155],"for":[67,140],"still":[71],"an":[72,80,131],"open":[73],"problem.":[74],"this":[76],"paper,":[77],"we":[78],"propose":[79],"efficient":[81],"straightforward":[83],"algorithm":[87],"to":[88,107,138],"reduce":[89],"problem":[91],"inter-class":[93],"pixel":[94,105],"mismatch":[95],"during":[96],"classification.":[97],"The":[98,128,151],"proposed":[99,142,152],"method":[100,145],"includes":[101],"application":[103],"normalization":[106],"remove":[108],"intensity":[109],"offsets":[110],"followed-up":[111],"Min-Max":[114,143],"metric":[115],"nearest":[118],"neighbor":[119],"classifier":[120],"that":[121],"capable":[123],"suppressing":[125],"outliers.":[127],"results":[129],"indicate":[130],"improvement":[132],"performance":[135],"92.85%":[137],"98.57%":[139],"when":[146],"tested":[147],"on":[148],"JAFFE":[149],"database.":[150],"outperforms":[156],"existing":[158],"methods.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}