{"id":"https://openalex.org/W4281706707","doi":"https://doi.org/10.32604/iasc.2023.025766","title":"Metaheuristics with Optimal Deep Transfer Learning Based Copy-Move Forgery Detection Technique","display_name":"Metaheuristics with Optimal Deep Transfer Learning Based Copy-Move Forgery Detection Technique","publication_year":2022,"publication_date":"2022-06-06","ids":{"openalex":"https://openalex.org/W4281706707","doi":"https://doi.org/10.32604/iasc.2023.025766"},"language":"en","primary_location":{"id":"doi:10.32604/iasc.2023.025766","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.025766","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-1/TSP_IASC_25766/TSP_IASC_25766.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-1/TSP_IASC_25766/TSP_IASC_25766.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035950221","display_name":"C. D. Prem Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"C. D. Prem Kumar","raw_affiliation_strings":["Department of Information Technology, Hindusthan College of Engineering and Technology, Coimbatore, 641032, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Hindusthan College of Engineering and Technology, Coimbatore, 641032, Tamilnadu, India","institution_ids":["https://openalex.org/I43663321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110575625","display_name":"S. Saravana Sundaram","orcid":null},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Saravana Sundaram","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Hindusthan College of Engineering and Technology, Coimbatore, 641032, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Hindusthan College of Engineering and Technology, Coimbatore, 641032, Tamilnadu, India","institution_ids":["https://openalex.org/I43663321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035950221"],"corresponding_institution_ids":["https://openalex.org/I43663321"],"apc_list":null,"apc_paid":null,"fwci":0.9059,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7443113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":"1","first_page":"881","last_page":"899"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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":1.0,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9722999930381775,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8694429993629456},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6841778755187988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6512836217880249},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6041070222854614},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.551330029964447},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5490369200706482},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5105870366096497},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5102384090423584},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.485115647315979},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4640437960624695},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.441944420337677},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.4337376356124878},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42346805334091187},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.420188307762146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39044293761253357},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24549639225006104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8694429993629456},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6841778755187988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6512836217880249},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6041070222854614},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.551330029964447},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5490369200706482},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5105870366096497},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5102384090423584},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.485115647315979},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4640437960624695},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.441944420337677},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.4337376356124878},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42346805334091187},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.420188307762146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39044293761253357},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24549639225006104},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/iasc.2023.025766","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.025766","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-1/TSP_IASC_25766/TSP_IASC_25766.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/iasc.2023.025766","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.025766","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-1/TSP_IASC_25766/TSP_IASC_25766.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281706707.pdf","grobid_xml":"https://content.openalex.org/works/W4281706707.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1987535593","https://openalex.org/W2112789121","https://openalex.org/W2162963619","https://openalex.org/W2237685256","https://openalex.org/W2925273110","https://openalex.org/W2950452242","https://openalex.org/W2969923572","https://openalex.org/W2995374468","https://openalex.org/W3009285418","https://openalex.org/W3009818760","https://openalex.org/W3011709185","https://openalex.org/W3012401223","https://openalex.org/W3013316990","https://openalex.org/W3033173051","https://openalex.org/W3046472267","https://openalex.org/W3085366969","https://openalex.org/W3087718639","https://openalex.org/W3117551253","https://openalex.org/W3134500368","https://openalex.org/W3135198623","https://openalex.org/W3209743006","https://openalex.org/W6647211268","https://openalex.org/W6760713580","https://openalex.org/W6776491506","https://openalex.org/W6781189022","https://openalex.org/W6792110342"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W2121910908"],"abstract_inverted_index":{"The":[0,86,170,221],"extensive":[1],"availability":[2],"of":[3,16,99,137,172,202,208,229,239],"advanced":[4],"digital":[5,161],"image":[6,9,19,33],"technologies":[7],"and":[8,46,105,108,191,218],"editing":[10],"tools":[11],"has":[12,130,155],"simplified":[13],"the":[14,18,26,29,39,43,48,64,97,103,106,111,117,121,160,164,167,173,180,184,194,199,203,214,226,230,234],"way":[15],"manipulating":[17],"content.":[20],"An":[21],"effective":[22],"technique":[23,89,190],"for":[24,38,96,133,158],"tampering":[25],"identification":[27],"is":[28],"copy-move":[30],"forgery.":[31],"Conventional":[32],"processing":[34],"techniques":[35,236],"generally":[36],"search":[37],"patterns":[40],"linked":[41],"to":[42,91,177],"fake":[44],"content":[45],"restrict":[47],"usage":[49],"in":[50,183,237],"massive":[51],"data":[52],"classification.":[53],"Contrastingly,":[54],"deep":[55],"learning":[56],"(DL)":[57],"models":[58],"have":[59,210,224],"demonstrated":[60,225],"significant":[61],"performance":[62,201,228],"over":[63,233],"other":[65,235],"statistical":[66],"techniques.":[67],"With":[68],"this":[69,71],"motivation,":[70],"paper":[72],"presents":[73],"an":[74,141],"Optimal":[75],"Deep":[76],"Transfer":[77],"Learning":[78],"based":[79],"Copy":[80],"Move":[81],"Forgery":[82],"Detection":[83],"(ODTL-CMFD)":[84],"technique.":[85],"presented":[87],"ODTL-CMFD":[88,204,231],"aims":[90],"derive":[92],"a":[93,135,206],"DL":[94],"model":[95,129,154],"classification":[98,195],"target":[100],"images":[101,162],"into":[102,163],"original":[104,165],"forged/tampered,":[107],"then":[109],"localize":[110],"copy":[112],"moved":[113],"regions.":[114],"To":[115],"perform":[116],"feature":[118],"extraction":[119],"process,":[120],"political":[122],"optimizer":[123],"(PO)":[124],"with":[125,147],"Mobile":[126],"Networks":[127],"(MobileNet)":[128],"been":[131,156,211],"derived":[132],"generating":[134],"set":[136],"useful":[138],"vectors.":[139],"Finally,":[140],"enhanced":[142,200],"bird":[143],"swarm":[144],"algorithm":[145,175],"(EBSA)":[146],"least":[148],"square":[149],"support":[150],"vector":[151],"machine":[152],"(LS-SVM)":[153],"employed":[157],"classifying":[159],"or":[166],"forged":[168],"ones.":[169],"utilization":[171],"EBSA":[174],"helps":[176],"properly":[178],"modify":[179],"parameters":[181],"contained":[182],"Multiclass":[185],"Support":[186],"Vector":[187],"Machine":[188],"(MSVM)":[189],"thereby":[192],"enhance":[193],"performance.":[196],"For":[197],"ensuring":[198],"technique,":[205],"series":[207],"simulations":[209],"performed":[212],"against":[213],"benchmark":[215],"MICC-F220,":[216],"MICC-F2000,":[217],"MICC-F600":[219],"datasets.":[220],"experimental":[222],"results":[223],"improvised":[227],"approach":[232],"terms":[238],"several":[240],"evaluation":[241],"measures.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
