{"id":"https://openalex.org/W4388937559","doi":"https://doi.org/10.1109/icccnt56998.2023.10306408","title":"FSD: A novel forged document dataset and baseline","display_name":"FSD: A novel forged document dataset and baseline","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388937559","doi":"https://doi.org/10.1109/icccnt56998.2023.10306408"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10306408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10306408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5010560519","display_name":"Ankit Jaiswal","orcid":"https://orcid.org/0000-0003-1736-9157"},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ankit Kumar Jaiswal","raw_affiliation_strings":["Jawaharlal Nehru University,School of Engineering,New Delhi,India,110067"],"affiliations":[{"raw_affiliation_string":"Jawaharlal Nehru University,School of Engineering,New Delhi,India,110067","institution_ids":["https://openalex.org/I152429107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038682785","display_name":"Shiksha Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I168893459","display_name":"University of Allahabad","ror":"https://ror.org/03vrx7m55","country_code":"IN","type":"education","lineage":["https://openalex.org/I168893459"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shiksha Singh","raw_affiliation_strings":["JK Institute of Applied Physics and Techology Univeristy of Allahabad,Department of Electronics and Communication,Prayagraj,India"],"affiliations":[{"raw_affiliation_string":"JK Institute of Applied Physics and Techology Univeristy of Allahabad,Department of Electronics and Communication,Prayagraj,India","institution_ids":["https://openalex.org/I168893459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038680957","display_name":"Santosh Kumar Tripathy","orcid":"https://orcid.org/0000-0002-1995-2525"},"institutions":[{"id":"https://openalex.org/I464993","display_name":"Barkatullah University","ror":"https://ror.org/02ax13658","country_code":"IN","type":"education","lineage":["https://openalex.org/I464993"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santosh Kumar Tripathy","raw_affiliation_strings":["VIT Bhopal University,School of Computing Science and Engineering,India,466114"],"affiliations":[{"raw_affiliation_string":"VIT Bhopal University,School of Computing Science and Engineering,India,466114","institution_ids":["https://openalex.org/I464993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010560519"],"corresponding_institution_ids":["https://openalex.org/I152429107"],"apc_list":null,"apc_paid":null,"fwci":0.123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43913948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9866999983787537,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/unavailability","display_name":"Unavailability","score":0.8188249468803406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8028323650360107},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5890033841133118},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5670686960220337},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5230977535247803},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5173822641372681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5127730965614319},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4414975643157959},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43922626972198486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3484199643135071},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34824371337890625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34722039103507996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07270669937133789}],"concepts":[{"id":"https://openalex.org/C2780505938","wikidata":"https://www.wikidata.org/wiki/Q17093282","display_name":"Unavailability","level":2,"score":0.8188249468803406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8028323650360107},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5890033841133118},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5670686960220337},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5230977535247803},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5173822641372681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5127730965614319},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4414975643157959},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43922626972198486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3484199643135071},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34824371337890625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34722039103507996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07270669937133789},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10306408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10306408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W128019999","https://openalex.org/W1492332234","https://openalex.org/W1566737483","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W2021549453","https://openalex.org/W2023319827","https://openalex.org/W2050995497","https://openalex.org/W2086791339","https://openalex.org/W2135392152","https://openalex.org/W2564998703","https://openalex.org/W2737258237","https://openalex.org/W2766378264","https://openalex.org/W2787858346","https://openalex.org/W2883558401","https://openalex.org/W2899279931","https://openalex.org/W2902685738","https://openalex.org/W2962749812","https://openalex.org/W2963566548","https://openalex.org/W2986619406","https://openalex.org/W2996290406","https://openalex.org/W3006734213","https://openalex.org/W3048350896","https://openalex.org/W3048880260","https://openalex.org/W3100423079","https://openalex.org/W3102114584","https://openalex.org/W3192602971","https://openalex.org/W3193438091","https://openalex.org/W4360922814","https://openalex.org/W4361006352","https://openalex.org/W6634031272"],"related_works":["https://openalex.org/W4237235066","https://openalex.org/W2026539069","https://openalex.org/W207884067","https://openalex.org/W3127016596","https://openalex.org/W2365973415","https://openalex.org/W1482423459","https://openalex.org/W2996457675","https://openalex.org/W3146085540","https://openalex.org/W2129918226","https://openalex.org/W1997160662"],"abstract_inverted_index":{"Forgery":[0],"detection":[1,28],"in":[2,9,62,76,81,103],"multimedia":[3],"is":[4,94,137,196],"an":[5],"emerging":[6],"research":[7,18,102],"area":[8],"the":[10,47,73,77,97,112,124,135,144,168,182,188],"field":[11],"of":[12,33,49,72,85,131,134,138,143,157],"digital":[13,25],"content":[14],"security.":[15],"The":[16,43,129,141,152],"current":[17],"focuses":[19],"on":[20,96,181],"finding":[21],"several":[22],"solutions":[23],"to":[24],"image":[26],"forgery":[27,41],"but":[29],"a":[30,50,66,70,91,108,117],"small":[31],"number":[32],"works":[34],"have":[35],"been":[36],"reported":[37],"for":[38,111,170],"scanned":[39,52,57,121,159,172,193],"document":[40,53,58,74,79,173],"detection.":[42],"reason":[44],"would":[45],"be":[46,60],"unavailability":[48],"forged":[51,147,171,192],"(FSD)":[54],"dataset.":[55,184],"A":[56],"can":[59],"manipulated":[61,98,158],"different":[63,149],"ways:":[64],"deleting":[65],"region,":[67],"copy":[68],"paste":[69],"region":[71],"either":[75],"same":[78],"or":[80],"another":[82],"document.":[83],"Detection":[84],"these":[86],"manipulations":[87],"becomes":[88],"arduous":[89],"when":[90],"post-processing":[92,150],"operation":[93],"performed":[95],"region.":[99],"To":[100,114,166],"advance":[101],"this":[104],"field,":[105],"we":[106,119,175],"created":[107],"large":[109],"dataset":[110,126,136,145,153],"FSD.":[113],"generate":[115],"such":[116],"dataset,":[118],"collected":[120],"documents":[122,160,194],"from":[123],"FUNSD":[125],"(Publicly":[127],"Available).":[128],"resolution":[130],"each":[132],"sample":[133],"size":[139],"755x1000.":[140],"samples":[142],"are":[146],"using":[148],"operations.":[151],"comprises":[154],"6656":[155],"instances":[156],"with":[161],"their":[162],"ground":[163],"truth":[164],"masks.":[165],"build":[167],"baseline":[169],"detection,":[174],"evaluated":[176],"state-of-the-art":[177],"object":[178],"segmentation":[179],"algorithms":[180],"FSD":[183,189],"Experiments":[185],"demonstrate":[186],"that":[187],"well":[190],"represents":[191],"and":[195],"quite":[197],"challenging.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}