{"id":"https://openalex.org/W4283271042","doi":"https://doi.org/10.1109/isdfs55398.2022.9800785","title":"A Deep Learning Based Fast Face Detection and Recognition Algorithm for Forensic Analysis","display_name":"A Deep Learning Based Fast Face Detection and Recognition Algorithm for Forensic Analysis","publication_year":2022,"publication_date":"2022-06-06","ids":{"openalex":"https://openalex.org/W4283271042","doi":"https://doi.org/10.1109/isdfs55398.2022.9800785"},"language":"en","primary_location":{"id":"doi:10.1109/isdfs55398.2022.9800785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdfs55398.2022.9800785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 10th International Symposium on Digital Forensics and Security (ISDFS)","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/A5068962111","display_name":"Serkan Karaku\u015f","orcid":"https://orcid.org/0000-0001-5639-1408"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Serkan Karaku\u015f","raw_affiliation_strings":["Digital Forensic Engineering,Dept. of F&#x0131;rat University Software,Elaz&#x0131;g,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Forensic Engineering,Dept. of F&#x0131;rat University Software,Elaz&#x0131;g,Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100758907","display_name":"Mustafa Kaya","orcid":"https://orcid.org/0000-0002-0160-4469"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mustafa Kaya","raw_affiliation_strings":["University Digital Forensic Engineering,Dept. of F&#x0131;rat,Elaz&#x0131;g,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Digital Forensic Engineering,Dept. of F&#x0131;rat,Elaz&#x0131;g,Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004319915","display_name":"Seda Arslan Tuncer","orcid":"https://orcid.org/0000-0001-6472-8306"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seda Arslan Tuncer","raw_affiliation_strings":["University Software Engineering,Dept. of F&#x0131;rat,Elaz&#x0131;g,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Software Engineering,Dept. of F&#x0131;rat,Elaz&#x0131;g,Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006579566","display_name":"Muammer Bah\u015fi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Taha Bah\u015fi","raw_affiliation_strings":["Forencrypt Information Technologies,Elaz&#x0131;g,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Forencrypt Information Technologies,Elaz&#x0131;g,Turkey","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063532217","display_name":"Merve A\u00e7iko\u011flu","orcid":"https://orcid.org/0000-0001-8689-6917"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Merve A\u00e7iko\u011flu","raw_affiliation_strings":["Forencrypt Information Technologies,Elaz&#x0131;g,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Forencrypt Information Technologies,Elaz&#x0131;g,Turkey","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2031,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46583557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976000189781189,"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":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.8399782776832581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7181010246276855},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6788737773895264},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6129026412963867},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.5981359481811523},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5910012125968933},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.586918294429779},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5627789497375488},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5618095993995667},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5522055625915527},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4105949401855469},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4061119258403778},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39179083704948425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3247668147087097},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07903483510017395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8399782776832581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7181010246276855},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6788737773895264},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6129026412963867},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.5981359481811523},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5910012125968933},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.586918294429779},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5627789497375488},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5618095993995667},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5522055625915527},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4105949401855469},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4061119258403778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39179083704948425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3247668147087097},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07903483510017395},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isdfs55398.2022.9800785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdfs55398.2022.9800785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 10th International Symposium on Digital Forensics and Security (ISDFS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W24678375","https://openalex.org/W639708223","https://openalex.org/W1534992827","https://openalex.org/W1686810756","https://openalex.org/W1703179648","https://openalex.org/W1881452810","https://openalex.org/W1950843348","https://openalex.org/W1986702797","https://openalex.org/W1996767106","https://openalex.org/W1998808035","https://openalex.org/W2032768707","https://openalex.org/W2059093724","https://openalex.org/W2062104878","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2103971661","https://openalex.org/W2109255472","https://openalex.org/W2112604022","https://openalex.org/W2114588272","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2138451337","https://openalex.org/W2140609507","https://openalex.org/W2144172034","https://openalex.org/W2145287260","https://openalex.org/W2156409111","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2204810408","https://openalex.org/W2325939864","https://openalex.org/W2594072274","https://openalex.org/W2612786451","https://openalex.org/W2752782242","https://openalex.org/W2910603373","https://openalex.org/W2963037989","https://openalex.org/W2963839617","https://openalex.org/W2969985801","https://openalex.org/W3097096317","https://openalex.org/W6601015418","https://openalex.org/W6620707391","https://openalex.org/W6628973269","https://openalex.org/W6631782140","https://openalex.org/W6637320534","https://openalex.org/W6637373629","https://openalex.org/W6639355794","https://openalex.org/W6680902425","https://openalex.org/W6681239517","https://openalex.org/W6684191040","https://openalex.org/W6737949934"],"related_works":["https://openalex.org/W2181570714","https://openalex.org/W2901758161","https://openalex.org/W3204852000","https://openalex.org/W2336272890","https://openalex.org/W3211418293","https://openalex.org/W325114128","https://openalex.org/W3183843611","https://openalex.org/W4308999381","https://openalex.org/W4308999963","https://openalex.org/W4285815683"],"abstract_inverted_index":{"Face":[0],"detection":[1,84,120],"and":[2,17,39,74,94,101,155,161],"recognition":[3,87],"applications":[4,154],"have":[5,22,104],"become":[6],"an":[7],"important":[8],"research":[9],"issue":[10],"with":[11,66,117],"the":[12,47,51,99,138],"advent":[13],"of":[14,33,46,53,98],"artificial":[15],"intelligence":[16],"deep":[18,67,113,144],"learning":[19,68,114,145],"studies,":[20],"which":[21,70],"drawn":[23],"much":[24],"attention":[25],"to":[26,158],"researchers":[27],"in":[28,50,88,137],"recent":[29],"years.":[30],"The":[31,111],"knowledge":[32],"retrieving":[34],"contents":[35],"from":[36,78],"image,":[37],"video,":[38],"audio":[40],"files":[41,76],"is":[42,64],"seen":[43],"as":[44,92],"one":[45],"vital":[48],"influences":[49],"field":[52],"digital":[54],"forensics.":[55],"In":[56],"this":[57,108],"study,":[58],"we":[59],"proposed":[60,109,112],"a":[61,89,96],"software":[62],"that":[63,103,126,143],"supported":[65,146],"model":[69,115],"can":[71,122,148],"analyze":[72],"video":[73],"image":[75],"extracted":[77],"forensic":[79,165],"evidence":[80],"for":[81,152],"either":[82],"face":[83],"or":[85,129,136],"object":[86,119],"folder":[90],"given":[91],"input":[93],"file":[95],"report":[97],"images":[100],"videos":[102],"been":[105],"realized":[106],"via":[107],"application.":[110],"trained":[116],"YOLOv5":[118],"algorithms":[121],"easily":[123,150],"detect":[124],"faces":[125],"are":[127],"completely":[128],"partially":[130],"visible":[131],"under":[132],"different":[133],"light":[134],"levels":[135],"image.":[139],"This":[140],"study":[141],"shows":[142],"solutions":[147],"be":[149],"preferred":[151],"real-time":[153],"time-consuming":[156],"implementations":[157],"reduce":[159],"fatigue":[160],"error-prone":[162],"incurred":[163],"during":[164],"investigations.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
