{"id":"https://openalex.org/W3193741689","doi":"https://doi.org/10.1108/dta-10-2020-0234","title":"Taylor-rider-based deep convolutional neural network for image forgery detection in 3D lighting environment","display_name":"Taylor-rider-based deep convolutional neural network for image forgery detection in 3D lighting environment","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3193741689","doi":"https://doi.org/10.1108/dta-10-2020-0234","mag":"3193741689"},"language":"en","primary_location":{"id":"doi:10.1108/dta-10-2020-0234","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-10-2020-0234","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-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/A5067135110","display_name":"V. Vinolin","orcid":null},"institutions":[{"id":"https://openalex.org/I96797292","display_name":"Noorul Islam University","ror":"https://ror.org/01y2gf490","country_code":"IN","type":"education","lineage":["https://openalex.org/I96797292"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"V. Vinolin","raw_affiliation_strings":["Noorul Islam Centre for Higher Education, Thuckalay, India"],"raw_orcid":"https://orcid.org/0000-0002-9708-1884","affiliations":[{"raw_affiliation_string":"Noorul Islam Centre for Higher Education, Thuckalay, India","institution_ids":["https://openalex.org/I96797292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008914202","display_name":"M. Sucharitha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Sucharitha","raw_affiliation_strings":["Malla Reddy College of Engineering and Technology, Maisammaguda, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Malla Reddy College of Engineering and Technology, Maisammaguda, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067135110"],"corresponding_institution_ids":["https://openalex.org/I96797292"],"apc_list":null,"apc_paid":null,"fwci":0.5825,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68588925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"56","issue":"1","first_page":"103","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","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/T12357","display_name":"Digital Media Forensic Detection","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/T13877","display_name":"Law in Society and Culture","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9796000123023987,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7910035848617554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6402075886726379},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6032874584197998},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5549039244651794},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5272703766822815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48437198996543884},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48030608892440796},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.47771334648132324},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47387051582336426},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.4478493928909302},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42121583223342896},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.41502296924591064},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21503138542175293}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7910035848617554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6402075886726379},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6032874584197998},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5549039244651794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5272703766822815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48437198996543884},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48030608892440796},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.47771334648132324},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47387051582336426},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.4478493928909302},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42121583223342896},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.41502296924591064},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21503138542175293},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/dta-10-2020-0234","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-10-2020-0234","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W120119343","https://openalex.org/W1515615411","https://openalex.org/W1590954115","https://openalex.org/W1797993979","https://openalex.org/W1983586459","https://openalex.org/W2021465448","https://openalex.org/W2048365718","https://openalex.org/W2064772105","https://openalex.org/W2081698350","https://openalex.org/W2093512257","https://openalex.org/W2099332139","https://openalex.org/W2102810410","https://openalex.org/W2123889042","https://openalex.org/W2140117117","https://openalex.org/W2142627517","https://openalex.org/W2142738546","https://openalex.org/W2146775314","https://openalex.org/W2155319953","https://openalex.org/W2164598857","https://openalex.org/W2169439181","https://openalex.org/W2281375574","https://openalex.org/W2293628729","https://openalex.org/W2540792384","https://openalex.org/W2547589364","https://openalex.org/W2603469682","https://openalex.org/W2605487586","https://openalex.org/W2744490888","https://openalex.org/W2744584627","https://openalex.org/W2791220642","https://openalex.org/W2805966918","https://openalex.org/W2898357003","https://openalex.org/W2944725812","https://openalex.org/W2958412552","https://openalex.org/W2963590887","https://openalex.org/W2970306554","https://openalex.org/W2979646104","https://openalex.org/W2993563321","https://openalex.org/W3000120601","https://openalex.org/W3008107681","https://openalex.org/W3033573885","https://openalex.org/W3043251718","https://openalex.org/W3048963918","https://openalex.org/W3098204167","https://openalex.org/W4235593161"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2621153692","https://openalex.org/W4242919564","https://openalex.org/W3022867133"],"abstract_inverted_index":{"Purpose":[0],"With":[1],"the":[2,16,37,40,57,62,91,113,117,123,128,133,145,149,165,169,173,177,183,199,203,228,244,286,297],"advancements":[3],"in":[4,18,39,64,116,241,275,289],"photo":[5],"editing":[6],"software,":[7],"it":[8],"is":[9,81,135,282],"possible":[10],"to":[11,60,89,176,243],"generate":[12],"fake":[13,54],"images,":[14,22,27,70],"degrading":[15],"trust":[17,63],"digital":[19,65],"images.":[20,66,93,111,185],"Forged":[21],"which":[23,51,127,143,181],"appear":[24],"like":[25],"authentic":[26],"can":[28],"be":[29],"created":[30],"without":[31],"leaving":[32],"any":[33],"visual":[34],"clues":[35],"about":[36],"alteration":[38],"image.":[41],"Image":[42],"forensic":[43],"field":[44],"has":[45],"introduced":[46],"several":[47,68],"forgery":[48,69,86],"detection":[49,87],"techniques,":[50],"effectively":[52],"distinguish":[53],"images":[55,72,119],"from":[56,126,164,253],"original":[58],"ones,":[59],"restore":[61],"Among":[67],"spliced":[71,92,110,118,184],"involving":[73],"human":[74,114],"faces":[75,115],"are":[76,120,162],"more":[77],"unsafe.":[78],"Hence,":[79],"there":[80],"a":[82,85,98],"need":[83],"for":[84,108,221,294],"approach":[88,201],"detect":[90],"Design/methodology/approach":[94],"This":[95],"paper":[96],"proposes":[97],"Taylor-rider":[99],"optimization":[100,291],"algorithm-based":[101],"deep":[102],"convolutional":[103],"neural":[104,263],"network":[105],"(Taylor-ROA-based":[106],"DeepCNN)":[107],"detecting":[109],"Initially,":[112],"detected":[121],"using":[122,137,189],"Viola\u2013Jones":[124],"algorithm,":[125],"3-dimensional":[129],"(3D)":[130],"shape":[131,252],"of":[132,168,215,231,277],"face":[134],"established":[136],"landmark-based":[138],"3D":[139],"morphable":[140],"model":[141],"(L3DMM),":[142],"estimates":[144],"light":[146,166],"coefficients.":[147],"Then,":[148],"distance":[150],"measures,":[151],"such":[152,247],"as":[153,248],"Bhattacharya,":[154],"Seuclidean,":[155],"Euclidean,":[156],"Hamming,":[157],"Chebyshev":[158],"and":[159,194,210,218,239,250,268],"correlation":[160],"coefficients":[161,167],"determined":[163],"faces.":[170],"These":[171],"form":[172],"feature":[174],"vector":[175],"proposed":[178,200,225],"Taylor-ROA-based":[179],"DeepCNN,":[180],"determines":[182],"Findings":[186],"Experimental":[187],"analysis":[188],"DSO-1,":[190],"DSI-1,":[191],"real":[192],"dataset":[193,196],"hybrid":[195],"reveal":[197],"that":[198],"acquired":[202],"maximal":[204],"accuracy,":[205],"true":[206,211],"positive":[207],"rate":[208,213],"(TPR)":[209],"negative":[212],"(TNR)":[214],"99%,":[216],"98.88%":[217],"96.03%,":[219],"respectively,":[220,274],"DSO-1":[222],"dataset.":[223],"The":[224,280],"method":[226],"reached":[227],"performance":[229],"improvement":[230],"24.49%,":[232],"8.92%,":[233],"6.72%,":[234],"4.17%,":[235],"0.25%,":[236],"0.13%,":[237],"0.06%,":[238],"0.06%":[240],"comparison":[242],"existing":[245],"methods,":[246],"Kee":[249],"Farid's,":[251],"shading":[254],"(SFS),":[255],"random":[256],"guess,":[257],"Bo":[258],"Peng":[259],"et":[260,271],"al.":[261,272],",":[262,273],"network,":[264],"FOA-SVNN,":[265],"CNN-based":[266],"MBK,":[267],"Manoj":[269],"Kumar":[270],"terms":[276],"accuracy.":[278],"Originality/value":[279],"Taylor-ROA":[281],"developed":[283],"by":[284],"integrating":[285],"Taylor":[287],"series":[288],"rider":[290],"algorithm":[292],"(ROA)":[293],"optimally":[295],"tuning":[296],"DeepCNN.":[298]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}