{"id":"https://openalex.org/W3183770828","doi":"https://doi.org/10.1109/jcsse53117.2021.9493844","title":"Smart School Attendance System using Face Recognition with Near Optimal Imaging","display_name":"Smart School Attendance System using Face Recognition with Near Optimal Imaging","publication_year":2021,"publication_date":"2021-06-30","ids":{"openalex":"https://openalex.org/W3183770828","doi":"https://doi.org/10.1109/jcsse53117.2021.9493844","mag":"3183770828"},"language":"en","primary_location":{"id":"doi:10.1109/jcsse53117.2021.9493844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse53117.2021.9493844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)","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/A5059337617","display_name":"Kittipong Tapyou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092041","display_name":"Suratthani Rajabhat University","ror":"https://ror.org/00mmgx583","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210092041"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Kittipong Tapyou","raw_affiliation_strings":["PSU Wittayanusorn Suratthani School, Surat Thani, Thailand"],"affiliations":[{"raw_affiliation_string":"PSU Wittayanusorn Suratthani School, Surat Thani, Thailand","institution_ids":["https://openalex.org/I4210092041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070491697","display_name":"Pannawich Chaisil","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092041","display_name":"Suratthani Rajabhat University","ror":"https://ror.org/00mmgx583","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210092041"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pannawich Chaisil","raw_affiliation_strings":["PSU Wittayanusorn Suratthani School, Surat Thani, Thailand"],"affiliations":[{"raw_affiliation_string":"PSU Wittayanusorn Suratthani School, Surat Thani, Thailand","institution_ids":["https://openalex.org/I4210092041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082918655","display_name":"Jirapond Muangprathub","orcid":"https://orcid.org/0000-0002-3062-4696"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Jirapond Muangprathub","raw_affiliation_strings":["Faculty of Science and Industrial Technology, Prince of Songkla University, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Industrial Technology, Prince of Songkla University, Thailand","institution_ids":["https://openalex.org/I131868736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059337617"],"corresponding_institution_ids":["https://openalex.org/I4210092041"],"apc_list":null,"apc_paid":null,"fwci":0.1938,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.48426307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"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":0.9914000034332275,"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":0.9914000034332275,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9714000225067139,"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":0.7793025970458984},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6455673575401306},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5672470331192017},{"id":"https://openalex.org/keywords/attendance","display_name":"Attendance","score":0.5647350549697876},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.5447822213172913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5210399031639099},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4600399136543274},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.4589764475822449},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.4100896120071411},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36102741956710815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2759650945663452},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22641193866729736}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793025970458984},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6455673575401306},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5672470331192017},{"id":"https://openalex.org/C2778173179","wikidata":"https://www.wikidata.org/wiki/Q25339289","display_name":"Attendance","level":2,"score":0.5647350549697876},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.5447822213172913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5210399031639099},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4600399136543274},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.4589764475822449},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4100896120071411},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36102741956710815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2759650945663452},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22641193866729736},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcsse53117.2021.9493844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse53117.2021.9493844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2254550785","https://openalex.org/W2726216225","https://openalex.org/W2810680021","https://openalex.org/W2990574716","https://openalex.org/W3022027267","https://openalex.org/W3113809445","https://openalex.org/W4235462665"],"related_works":["https://openalex.org/W3135341440","https://openalex.org/W3009637957","https://openalex.org/W2431444032","https://openalex.org/W1017149716","https://openalex.org/W1970925716","https://openalex.org/W4318606103","https://openalex.org/W2585703169","https://openalex.org/W4385451546","https://openalex.org/W1560709653","https://openalex.org/W3019195134"],"abstract_inverted_index":{"This":[0,44,105],"work":[1,106,141],"aimed":[2],"to":[3,27,40,52,93,149],"develop":[4],"a":[5,11,70,167],"students'":[6],"school":[7],"attendance":[8,103],"system":[9,87],"with":[10,66,95],"web":[12,23,59,62,96],"application":[13,24,63,97],"and":[14,49,54,69,82,98,192],"IoT":[15,34],"devices":[16],"as":[17],"the":[18,29,58,100,108,121,130,146,151,176,181,188,196],"two":[19],"main":[20],"parts.":[21],"The":[22,61,84,154,172],"was":[25,35,64,88],"designed":[26],"manipulate":[28],"student":[30,42,101,161,182,194],"data":[31],"acquisition":[32],"while":[33],"used":[36],"for":[37,57,74,135,170],"face":[38,85,111,123,131,183,199],"recognition":[39,86,124],"detect":[41],"attendance.":[43],"process":[45],"applied":[46],"Haar":[47],"cascade":[48],"EBGM":[50],"approaches":[51],"classify":[53],"distinguish":[55],"faces":[56],"application.":[60],"implemented":[65,89],"PHP":[67],"language":[68],"MySQL":[71],"database":[72],"provided":[73,157],"usage":[75],"by":[76,113],"three":[77],"user":[78],"groups:":[79],"teachers,":[80],"students":[81],"staff.":[83],"on":[90,144,180],"Raspberry":[91],"Pi":[92],"connect":[94],"record":[99],"time":[102],"data.":[104],"improves":[107],"accuracy":[109,159,197],"of":[110,115,160,198],"detection":[112],"use":[114],"physical":[116],"factors.":[117],"We":[118],"found":[119],"that":[120,175],"current":[122],"algorithm":[125],"is":[126,133],"highly":[127],"efficient":[128],"if":[129],"position":[132,148,169,178],"arranged":[134],"clear":[136],"image":[137],"capture.":[138],"Thus,":[139],"this":[140],"also":[142],"focuses":[143],"finding":[145],"right":[147],"capture":[150],"user's":[152],"face.":[153],"experimental":[155],"test":[156],"100%":[158],"classifier":[162],"when":[163],"they":[164],"stand":[165],"in":[166],"suitable":[168,177],"imaging.":[171],"results":[173],"show":[174],"depends":[179],"training":[184],"count.":[185],"In":[186],"addition,":[187],"distance":[189],"between":[190],"camera":[191],"standing":[193],"affects":[195],"recognition.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
