{"id":"https://openalex.org/W2154496776","doi":"https://doi.org/10.1109/iscas.2011.5938145","title":"Source color laser printer identification using discrete wavelet transform and feature selection algorithms","display_name":"Source color laser printer identification using discrete wavelet transform and feature selection algorithms","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2154496776","doi":"https://doi.org/10.1109/iscas.2011.5938145","mag":"2154496776"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2011.5938145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2011.5938145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium of Circuits and Systems (ISCAS)","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/A5074902886","display_name":"Min-Jen Tsai","orcid":"https://orcid.org/0000-0002-3142-9921"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Jen Tsai","raw_affiliation_strings":["Institute of Information Management, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Management, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022564787","display_name":"Jung Liu","orcid":"https://orcid.org/0009-0009-7109-823X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jung Liu","raw_affiliation_strings":["Institute of Information Management, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Management, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041726014","display_name":"Chensheng Wang","orcid":"https://orcid.org/0000-0001-6858-3159"},"institutions":[{"id":"https://openalex.org/I901584119","display_name":"Ta Hwa University of Science and Technology","ror":"https://ror.org/00c55ce88","country_code":"TW","type":"education","lineage":["https://openalex.org/I901584119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chen-Sheng Wang","raw_affiliation_strings":["Department of Information Management, Ta-Hwa Institute of Technology, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, Ta-Hwa Institute of Technology, Taiwan","institution_ids":["https://openalex.org/I901584119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054793224","display_name":"Ching-Hua Chuang","orcid":null},"institutions":[{"id":"https://openalex.org/I901584119","display_name":"Ta Hwa University of Science and Technology","ror":"https://ror.org/00c55ce88","country_code":"TW","type":"education","lineage":["https://openalex.org/I901584119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Hua Chuang","raw_affiliation_strings":["Department of Information Management, Ta-Hwa Institute of Technology, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, Ta-Hwa Institute of Technology, Taiwan","institution_ids":["https://openalex.org/I901584119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1889,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.82250886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2633","last_page":"2636"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9986000061035156,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9801999926567078,"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":0.7674593329429626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6710376739501953},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6665648221969604},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5909364223480225},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.550284743309021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5206722021102905},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5043565034866333},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4868413805961609},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.47222021222114563},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4239780306816101},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33711421489715576},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24010998010635376}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7674593329429626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6710376739501953},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6665648221969604},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5909364223480225},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.550284743309021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5206722021102905},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5043565034866333},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4868413805961609},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.47222021222114563},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4239780306816101},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33711421489715576},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24010998010635376},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2011.5938145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2011.5938145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium of Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1506864492","https://openalex.org/W1964095033","https://openalex.org/W1970633409","https://openalex.org/W1985836135","https://openalex.org/W2014915963","https://openalex.org/W2079317077","https://openalex.org/W2127206948","https://openalex.org/W2131978991","https://openalex.org/W2153635508","https://openalex.org/W2167433100","https://openalex.org/W3120421331","https://openalex.org/W4378446284","https://openalex.org/W6670403836","https://openalex.org/W6679564994","https://openalex.org/W6852466027"],"related_works":["https://openalex.org/W2085792030","https://openalex.org/W1504288058","https://openalex.org/W1577789985","https://openalex.org/W2792520941","https://openalex.org/W2047056993","https://openalex.org/W2112061901","https://openalex.org/W2390482320","https://openalex.org/W1994967090","https://openalex.org/W57803080","https://openalex.org/W2373883654"],"abstract_inverted_index":{"It":[0],"has":[1],"lately":[2],"become":[3],"an":[4],"important":[5],"research":[6],"area":[7],"of":[8,18,82,87,108,117],"digital":[9,20],"forensics":[10],"to":[11,28,70,101,138,146],"identify":[12,29,102],"the":[13,16,19,45,59,72,103,131,147,157],"characteristics":[14],"and":[15,39,51,66,95,106,121],"originality":[17],"devices.":[21],"This":[22],"paper":[23],"presents":[24],"a":[25],"novel":[26],"method":[27,150,160],"source":[30,104,165],"color":[31,48,52,109,118,122,166],"laser":[32,49,110,119,167],"printer":[33,168],"by":[34,55,74,97,151],"using":[35,98],"discrete":[36,79],"wavelet":[37,80],"transform":[38,81],"feature":[40],"selection":[41],"algorithms.":[42],"To":[43],"explore":[44],"relationship":[46],"between":[47],"printers":[50,120],"images":[53],"obtained":[54],"scanning":[56],"printed":[57],"documents,":[58],"proposed":[60,158],"approach":[61],"utilizes":[62],"image":[63],"processing":[64],"techniques":[65],"data":[67],"exploration":[68],"methods":[69],"calculate":[71],"features":[73,100],"applying":[75],"statistical":[76],"analysis":[77],"on":[78],"scanned":[83],"images.":[84],"A":[85],"model":[86,107],"support":[88],"vector":[89],"machines":[90],"sequentially":[91],"will":[92],"be":[93],"created":[94],"trained":[96],"these":[99],"brand":[105],"printer.":[111],"In":[112],"this":[113],"study,":[114],"10":[115],"models":[116],"toner":[123],"from":[124],"6":[125],"different":[126],"brands":[127],"are":[128],"used":[129],"for":[130,164],"experiments.":[132],"The":[133,153],"experimental":[134],"results":[135],"reach":[136],"up":[137],"92.4%":[139],"identification":[140,159],"rate":[141],"which":[142],"is":[143,161],"significantly":[144],"superior":[145],"existing":[148],"known":[149],"5.5%.":[152],"testing":[154],"performance":[155],"justifies":[156],"very":[162],"useful":[163],"identification.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}