{"id":"https://openalex.org/W4293863419","doi":"https://doi.org/10.1109/siu55565.2022.9864968","title":"Texture Analysis by Deep Twin Networks for Paper Fraud Detection","display_name":"Texture Analysis by Deep Twin Networks for Paper Fraud Detection","publication_year":2022,"publication_date":"2022-05-15","ids":{"openalex":"https://openalex.org/W4293863419","doi":"https://doi.org/10.1109/siu55565.2022.9864968"},"language":"en","primary_location":{"id":"doi:10.1109/siu55565.2022.9864968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu55565.2022.9864968","pdf_url":null,"source":{"id":"https://openalex.org/S4363607818","display_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013482974","display_name":"Ezgi Ekiz","orcid":"https://orcid.org/0000-0001-8955-8577"},"institutions":[{"id":"https://openalex.org/I118036225","display_name":"Istanbul Bilgi University","ror":"https://ror.org/04pm4x478","country_code":"TR","type":"education","lineage":["https://openalex.org/I118036225"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ezgi Ekiz","raw_affiliation_strings":["Orta Do&#x011F;u Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i,Ankara,T&#x00FC;rkiye","Bilgisayar M&#x00FC","hendisli&#x011F","i, Orta Do&#x011F","u Teknik &#x00DC","rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orta Do&#x011F;u Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i,Ankara,T&#x00FC;rkiye","institution_ids":[]},{"raw_affiliation_string":"Bilgisayar M&#x00FC","institution_ids":["https://openalex.org/I118036225"]},{"raw_affiliation_string":"hendisli&#x011F","institution_ids":[]},{"raw_affiliation_string":"i, Orta Do&#x011F","institution_ids":[]},{"raw_affiliation_string":"u Teknik &#x00DC","institution_ids":[]},{"raw_affiliation_string":"rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070564886","display_name":"Erol \u015eahi\u0307n","orcid":"https://orcid.org/0000-0002-2993-6879"},"institutions":[{"id":"https://openalex.org/I118036225","display_name":"Istanbul Bilgi University","ror":"https://ror.org/04pm4x478","country_code":"TR","type":"education","lineage":["https://openalex.org/I118036225"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erol Sahin","raw_affiliation_strings":["Orta Do&#x011F;u Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i,Ankara,T&#x00FC;rkiye","rkiye","Bilgisayar M&#x00FC","hendisli&#x011F","u Teknik &#x00DC","i, Orta Do&#x011F"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orta Do&#x011F;u Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i,Ankara,T&#x00FC;rkiye","institution_ids":[]},{"raw_affiliation_string":"rkiye","institution_ids":[]},{"raw_affiliation_string":"Bilgisayar M&#x00FC","institution_ids":["https://openalex.org/I118036225"]},{"raw_affiliation_string":"hendisli&#x011F","institution_ids":[]},{"raw_affiliation_string":"u Teknik &#x00DC","institution_ids":[]},{"raw_affiliation_string":"i, Orta Do&#x011F","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110664463","display_name":"Fato\u015f T. Yarman Vural","orcid":null},"institutions":[{"id":"https://openalex.org/I118036225","display_name":"Istanbul Bilgi University","ror":"https://ror.org/04pm4x478","country_code":"TR","type":"education","lineage":["https://openalex.org/I118036225"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fatos T. Yarman Vural","raw_affiliation_strings":["Orta Do&#x011F;u Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i,Ankara,T&#x00FC;rkiye","u Teknik &#x00DC","i, Orta Do&#x011F","hendisli&#x011F","Bilgisayar M&#x00FC","rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orta Do&#x011F;u Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i,Ankara,T&#x00FC;rkiye","institution_ids":[]},{"raw_affiliation_string":"u Teknik &#x00DC","institution_ids":[]},{"raw_affiliation_string":"i, Orta Do&#x011F","institution_ids":[]},{"raw_affiliation_string":"hendisli&#x011F","institution_ids":[]},{"raw_affiliation_string":"Bilgisayar M&#x00FC","institution_ids":["https://openalex.org/I118036225"]},{"raw_affiliation_string":"rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118036225"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9976999759674072,"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":0.9976999759674072,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.942799985408783,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9211000204086304,"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/computer-science","display_name":"Computer science","score":0.781790554523468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7188762426376343},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.692037045955658},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6084795594215393},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5785916447639465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.576231837272644},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5149751305580139},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.4853760004043579},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40593022108078003},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.39113157987594604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3273547291755676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.781790554523468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7188762426376343},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.692037045955658},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6084795594215393},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5785916447639465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.576231837272644},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5149751305580139},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.4853760004043579},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40593022108078003},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.39113157987594604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3273547291755676}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu55565.2022.9864968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu55565.2022.9864968","pdf_url":null,"source":{"id":"https://openalex.org/S4363607818","display_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:https://open.metu.edu.tr:11511/101564","is_oa":false,"landing_page_url":"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85138709078&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"30th Signal Processing and Communications Applications Conference, SIU 2022","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2076845124","https://openalex.org/W2236974868","https://openalex.org/W2198906585","https://openalex.org/W4200422973","https://openalex.org/W1966913899","https://openalex.org/W4233349824"],"abstract_inverted_index":{"This":[0,43],"study":[1,24],"proposes":[2],"a":[3,78],"method":[4,71,95],"to":[5],"distinguish":[6],"fake":[7,66],"documents":[8,58],"from":[9],"the":[10,13,17,47,57,61,83,93],"originals":[11],"using":[12],"textural":[14],"structures":[15],"of":[16,51,59],"papers":[18],"they":[19],"are":[20,33,65],"printed":[21],"on.":[22],"The":[23,69],"is":[25,63],"based":[26],"on":[27],"observations":[28],"showing":[29],"that":[30,92],"paper":[31,52],"textures":[32],"different":[34],"and":[35,40,81],"unique,":[36],"just":[37],"like":[38],"fingerprint":[39],"iris":[41],"tissue.":[42],"method,":[44],"which":[45,60],"captures":[46],"visually":[48],"distinctive":[49],"features":[50,99],"textures,":[53],"can":[54,72],"detect":[55],"whether":[56],"origin":[62],"suspected":[64],"or":[67],"not.":[68],"proposed":[70,94],"measure":[73],"Type-2":[74],"error":[75],"by":[76],"training":[77],"Siamese":[79],"network":[80],"thresholding":[82],"similarity":[84],"results":[85,90],"between":[86],"two":[87],"papers.":[88],"Experimental":[89],"show":[91],"has":[96],"better":[97],"distinguishing":[98],"than":[100],"classical":[101],"methods.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
