{"id":"https://openalex.org/W3035515701","doi":"https://doi.org/10.1109/iintec48298.2019.9112109","title":"Semi-Blind Source Scanner Identification","display_name":"Semi-Blind Source Scanner Identification","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3035515701","doi":"https://doi.org/10.1109/iintec48298.2019.9112109","mag":"3035515701"},"language":"en","primary_location":{"id":"doi:10.1109/iintec48298.2019.9112109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iintec48298.2019.9112109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)","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/A5045733261","display_name":"Chaima Ben Rabah","orcid":"https://orcid.org/0000-0003-4153-3287"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Chaima Ben Rabah","raw_affiliation_strings":["IMT Atlantique, UMR1101 LaTIM Inserm, Technop&#x00F4;le Brest-Iroise,Brest Cedex 3,France,29238","IMT Atlantique, UMR1101 LaTIM Inserm, Technop\u00f4le Brest-Iroise, Brest Cedex 3, France"],"affiliations":[{"raw_affiliation_string":"IMT Atlantique, UMR1101 LaTIM Inserm, Technop&#x00F4;le Brest-Iroise,Brest Cedex 3,France,29238","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210127572"]},{"raw_affiliation_string":"IMT Atlantique, UMR1101 LaTIM Inserm, Technop\u00f4le Brest-Iroise, Brest Cedex 3, France","institution_ids":["https://openalex.org/I4210127572","https://openalex.org/I154526488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062289182","display_name":"Gouenou Coatrieux","orcid":"https://orcid.org/0000-0002-5643-0224"},"institutions":[{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gouenou Coatrieux","raw_affiliation_strings":["IMT Atlantique, UMR1101 LaTIM Inserm, Technop&#x00F4;le Brest-Iroise,Brest Cedex 3,France,29238","IMT Atlantique, UMR1101 LaTIM Inserm, Technop\u00f4le Brest-Iroise, Brest Cedex 3, France"],"affiliations":[{"raw_affiliation_string":"IMT Atlantique, UMR1101 LaTIM Inserm, Technop&#x00F4;le Brest-Iroise,Brest Cedex 3,France,29238","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210127572"]},{"raw_affiliation_string":"IMT Atlantique, UMR1101 LaTIM Inserm, Technop\u00f4le Brest-Iroise, Brest Cedex 3, France","institution_ids":["https://openalex.org/I4210127572","https://openalex.org/I154526488"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014624804","display_name":"Riadh Abdelfattah","orcid":"https://orcid.org/0000-0002-0875-4857"},"institutions":[{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Riadh Abdelfattah","raw_affiliation_strings":["IMT Atlantique, UMR1101 LaTIM Inserm, Technop&#x00F4;le Brest-Iroise,Brest Cedex 3,France,29238","IMT Atlantique, UMR1101 LaTIM Inserm, Technop\u00f4le Brest-Iroise, Brest Cedex 3, France"],"affiliations":[{"raw_affiliation_string":"IMT Atlantique, UMR1101 LaTIM Inserm, Technop&#x00F4;le Brest-Iroise,Brest Cedex 3,France,29238","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210127572"]},{"raw_affiliation_string":"IMT Atlantique, UMR1101 LaTIM Inserm, Technop\u00f4le Brest-Iroise, Brest Cedex 3, France","institution_ids":["https://openalex.org/I4210127572","https://openalex.org/I154526488"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045733261"],"corresponding_institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210127572"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62936873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"220","last_page":"225"},"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":0.9943000078201294,"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":0.9918000102043152,"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/scanner","display_name":"Scanner","score":0.8661856055259705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7625604867935181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6559909582138062},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5619300007820129},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5174949169158936},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4865840673446655},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4493619501590729},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4436016082763672},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43097251653671265},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4146064817905426},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.414315789937973},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16163945198059082},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1251673400402069}],"concepts":[{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.8661856055259705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7625604867935181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6559909582138062},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5619300007820129},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5174949169158936},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4865840673446655},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4493619501590729},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4436016082763672},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43097251653671265},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4146064817905426},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.414315789937973},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16163945198059082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1251673400402069},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iintec48298.2019.9112109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iintec48298.2019.9112109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W52470561","https://openalex.org/W1514016044","https://openalex.org/W1546211452","https://openalex.org/W1556913318","https://openalex.org/W1964095033","https://openalex.org/W1985836135","https://openalex.org/W2008648374","https://openalex.org/W2033323324","https://openalex.org/W2033781283","https://openalex.org/W2037343673","https://openalex.org/W2046965679","https://openalex.org/W2074145713","https://openalex.org/W2079187955","https://openalex.org/W2107461197","https://openalex.org/W2108243386","https://openalex.org/W2108523446","https://openalex.org/W2113853497","https://openalex.org/W2119605622","https://openalex.org/W2148296974","https://openalex.org/W2160387688","https://openalex.org/W2232001747","https://openalex.org/W2280089225","https://openalex.org/W2313432364","https://openalex.org/W2405563912","https://openalex.org/W2406490710","https://openalex.org/W2510206617","https://openalex.org/W2517647305","https://openalex.org/W2537160348","https://openalex.org/W2546888898","https://openalex.org/W2553152707","https://openalex.org/W2555851248","https://openalex.org/W2587226967","https://openalex.org/W2609656065","https://openalex.org/W2621209040","https://openalex.org/W2737125209","https://openalex.org/W2747987767","https://openalex.org/W2748757733","https://openalex.org/W2790131818","https://openalex.org/W2792052036","https://openalex.org/W2792483093","https://openalex.org/W2802676742","https://openalex.org/W2884172766","https://openalex.org/W2886629927","https://openalex.org/W2889464866","https://openalex.org/W2893125519","https://openalex.org/W2899423461","https://openalex.org/W2910724225","https://openalex.org/W2913874646","https://openalex.org/W2923049179","https://openalex.org/W2940485495","https://openalex.org/W2954444733","https://openalex.org/W2972280772","https://openalex.org/W6630554056","https://openalex.org/W6689540421","https://openalex.org/W6738714685","https://openalex.org/W6754386530","https://openalex.org/W6754937663"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W3123806511","https://openalex.org/W1976727107"],"abstract_inverted_index":{"In":[0],"this":[1,84],"paper,":[2],"we":[3,136],"focus":[4],"on":[5,155],"the":[6,12,41,51,93,96,102,109,112,127,133,138,143,173,180,187,190],"identification":[7,42,69],"of":[8,14,46,50,95,101,111,146,189],"a":[9,15,21,30,47,55,147],"scanner":[10,56,68,113,145],"at":[11],"origin":[13],"given":[16],"scanned":[17,148,166],"document":[18,104,149],"provided":[19],"by":[20,54,162],"public":[22],"or":[23,115],"private":[24],"organization.":[25],"Such":[26],"documents":[27,156],"have":[28],"generally":[29],"particular":[31],"form":[32],"and":[33,164],"content":[34,98],"that":[35],"can":[36],"be":[37],"used":[38,129],"to":[39,60,72,82,91,141,158],"simplify":[40],"process.":[43],"The":[44,86],"unavailability":[45],"precise":[48],"model":[49],"noise":[52,114],"produced":[53],"make":[57],"it":[58,62],"hard":[59],"identify":[61,142],"with":[63,122,126,167,179],"high":[64],"accuracy.":[65],"Previously,":[66],"source":[67,144],"schemes":[70],"proposed":[71,87,191],"use":[73,170],"different":[74],"well-known":[75],"filters":[76,128],"which":[77],"are":[78],"not":[79],"perfectly":[80],"adapted":[81],"solve":[83],"problem.":[85],"approach":[88],"is":[89,120],"designed":[90],"suppress":[92],"maximum":[94],"image's":[97],"taking":[99],"advantage":[100],"original":[103],"form.":[105],"By":[106],"doing":[107],"so,":[108],"extraction":[110],"signature":[116,134],"from":[117],"acquired":[118],"images":[119],"achieved":[121,154],"better":[123],"performance":[124,176],"than":[125],"in":[130],"literature.":[131],"Once":[132],"extracted,":[135],"employ":[137],"Euclidean":[139],"distance":[140],"under":[150],"test.":[151],"Experimental":[152],"results":[153],"corresponding":[157],"registration":[159],"forms,":[160],"filled":[161],"hand":[163],"then":[165],"5":[168],"common":[169],"scanners":[171],"illustrate":[172],"superior":[174],"classification":[175],"when":[177],"compared":[178],"most":[181],"recent":[182],"methods.":[183],"We":[184],"also":[185],"demonstrate":[186],"robustness":[188],"solution":[192],"against":[193],"lossy":[194],"compression.":[195]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
