{"id":"https://openalex.org/W2789642773","doi":"https://doi.org/10.1109/icip.2017.8297105","title":"Robustness analysis of a passive printer identification scheme for halftone images","display_name":"Robustness analysis of a passive printer identification scheme for halftone images","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2789642773","doi":"https://doi.org/10.1109/icip.2017.8297105","mag":"2789642773"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5081788121","display_name":"Stephan Escher","orcid":"https://orcid.org/0009-0005-7628-2352"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Escher","raw_affiliation_strings":["Chair of Privacy and Security, TU Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Privacy and Security, TU Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023364659","display_name":"Thorsten Strafe","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thorsten Strafe","raw_affiliation_strings":["Technische Universitat Dresden, Dresden, Sachsen, DE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universitat Dresden, Dresden, Sachsen, DE","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":0.1847,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.6055913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"4357","last_page":"4361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9995999932289124,"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":0.9995999932289124,"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/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9962999820709229,"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/halftone","display_name":"Halftone","score":0.9638940691947937},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7818799018859863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7627489566802979},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6606220006942749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6378105878829956},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6160808205604553},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.5058738589286804},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.43290090560913086},{"id":"https://openalex.org/keywords/colored","display_name":"Colored","score":0.42770272493362427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33584290742874146},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25403663516044617}],"concepts":[{"id":"https://openalex.org/C2777635815","wikidata":"https://www.wikidata.org/wiki/Q1110021","display_name":"Halftone","level":3,"score":0.9638940691947937},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7818799018859863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7627489566802979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6606220006942749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6378105878829956},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6160808205604553},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.5058738589286804},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.43290090560913086},{"id":"https://openalex.org/C2778307483","wikidata":"https://www.wikidata.org/wiki/Q5149038","display_name":"Colored","level":2,"score":0.42770272493362427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33584290742874146},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25403663516044617},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8297105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W562354147","https://openalex.org/W642459236","https://openalex.org/W1546286348","https://openalex.org/W1966015705","https://openalex.org/W1972904756","https://openalex.org/W1993636010","https://openalex.org/W2006457904","https://openalex.org/W2040480174","https://openalex.org/W2117487104","https://openalex.org/W2122032595","https://openalex.org/W2127206948","https://openalex.org/W2133059825","https://openalex.org/W2150031195","https://openalex.org/W2155912251","https://openalex.org/W2165553585","https://openalex.org/W2188763053","https://openalex.org/W2402716962","https://openalex.org/W2729915750","https://openalex.org/W4246945957","https://openalex.org/W6632465827","https://openalex.org/W6677338860","https://openalex.org/W6678851308","https://openalex.org/W6713304163","https://openalex.org/W6741060923"],"related_works":["https://openalex.org/W2541791370","https://openalex.org/W2035976912","https://openalex.org/W3094187672","https://openalex.org/W2921707373","https://openalex.org/W2090494752","https://openalex.org/W2373279107","https://openalex.org/W3006099956","https://openalex.org/W2161278446","https://openalex.org/W2168956186","https://openalex.org/W1789942448"],"abstract_inverted_index":{"Printer":[0],"identification":[1,25,42,93],"is":[2,34],"an":[3,41,55],"important":[4],"part":[5],"of":[6,13,23,31,49],"printer":[7],"forensics":[8],"to":[9,17,66,98],"protect":[10],"the":[11,21,29,46,60,72,92],"reliability":[12],"printed":[14],"documents":[15],"or":[16],"track":[18],"criminals.":[19],"While":[20],"results":[22,69],"existing":[24],"methods":[26,33],"are":[27],"promising,":[28],"robustness":[30],"these":[32],"usually":[35],"not":[36],"considered.":[37],"Therefore,":[38],"we":[39,85],"analyzed":[40],"scheme":[43,94],"which":[44],"uses":[45],"halftone":[47,73],"texture":[48],"color":[50],"laser":[51],"image":[52],"prints":[53],"as":[54,101],"intrinsic":[56],"signature.":[57],"We":[58],"evaluated":[59],"signature's":[61],"stability":[62],"and":[63,80],"its":[64],"vulnerability":[65],"forgery.":[67],"Our":[68],"show":[70,86],"that":[71,87],"textures":[74],"depend":[75],"on":[76],"different":[77],"driver":[78],"settings":[79],"can":[81,95],"be":[82,96],"manipulated.":[83],"Additionally":[84],"for":[88],"specific":[89],"forensical":[90],"purposes":[91],"applied":[97],"colored":[99],"text":[100],"well.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
