{"id":"https://openalex.org/W2617053768","doi":"https://doi.org/10.1109/iwbf.2017.7935081","title":"From image to sensor: Comparative evaluation of multiple PRNU estimation schemes for identifying sensors from NIR iris images","display_name":"From image to sensor: Comparative evaluation of multiple PRNU estimation schemes for identifying sensors from NIR iris images","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2617053768","doi":"https://doi.org/10.1109/iwbf.2017.7935081","mag":"2617053768"},"language":"en","primary_location":{"id":"doi:10.1109/iwbf.2017.7935081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbf.2017.7935081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Workshop on Biometrics and Forensics (IWBF)","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/A5025836373","display_name":"Sudipta Banerjee","orcid":"https://orcid.org/0000-0003-1623-7697"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sudipta Banerjee","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061834795","display_name":"Arun Ross","orcid":"https://orcid.org/0000-0001-8850-3013"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arun Ross","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025836373"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.6372,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77825725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"5","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/T13568","display_name":"Wood and Agarwood Research","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.9623000025749207,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.751013994216919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7464183568954468},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.721511960029602},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.6666247844696045},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.5633521676063538},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.5627779960632324},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5136289000511169},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4956103563308716},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.4860725700855255},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4748162031173706},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.43712976574897766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42416855692863464},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4173315465450287},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3747093677520752},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.276450514793396},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.17156821489334106}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.751013994216919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7464183568954468},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.721511960029602},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.6666247844696045},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.5633521676063538},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.5627779960632324},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5136289000511169},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4956103563308716},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.4860725700855255},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4748162031173706},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.43712976574897766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42416855692863464},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4173315465450287},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3747093677520752},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.276450514793396},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.17156821489334106},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwbf.2017.7935081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbf.2017.7935081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Workshop on Biometrics and Forensics (IWBF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1922286204","https://openalex.org/W1936860008","https://openalex.org/W1949755779","https://openalex.org/W2038425697","https://openalex.org/W2060161750","https://openalex.org/W2086666872","https://openalex.org/W2089305009","https://openalex.org/W2096754397","https://openalex.org/W2124695272","https://openalex.org/W2124929806","https://openalex.org/W2129240197","https://openalex.org/W2140959843","https://openalex.org/W2198820501","https://openalex.org/W2208109665","https://openalex.org/W2271556243","https://openalex.org/W2313990093","https://openalex.org/W2547938567","https://openalex.org/W2912940386","https://openalex.org/W4212889867","https://openalex.org/W4248931071","https://openalex.org/W6639971937"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2759939383","https://openalex.org/W2952386695","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2557390811","https://openalex.org/W3133795085","https://openalex.org/W3213945064","https://openalex.org/W2784078054"],"abstract_inverted_index":{"The":[0],"field":[1,56],"of":[2,11,15,92,111],"digital":[3,156],"image":[4,17,157],"forensics":[5,158],"concerns":[6],"itself":[7],"with":[8],"the":[9,13,20,24,50,67,74,81,90,109,116,128,138,148],"task":[10],"validating":[12],"authenticity":[14],"an":[16,47],"or":[18,27],"determining":[19],"device":[21],"that":[22,45,127],"produced":[23],"image.":[25,52],"Device":[26],"sensor":[28,100],"identification":[29],"can":[30],"be":[31],"accomplished":[32],"by":[33],"estimating":[34],"sensor-specific":[35],"pixel":[36],"artifacts,":[37],"such":[38],"as":[39],"Photo":[40],"Response":[41],"Non":[42],"Uniformity":[43],"(PRNU),":[44],"leave":[46],"imprint":[48],"in":[49,54,66,80,97],"resulting":[51],"Research":[53],"this":[55,86],"has":[57],"predominantly":[58],"focused":[59],"on":[60,73,115,159],"images":[61,125],"obtained":[62],"using":[63],"sensors":[64,78,122],"operating":[65,79],"visible":[68],"spectrum.":[69,84],"Iris":[70],"recognition":[71],"systems,":[72],"other":[75],"hand,":[76],"utilize":[77],"near-infrared":[82],"(NIR)":[83],"In":[85],"work,":[87],"we":[88],"evaluate":[89],"applicability":[91],"different":[93],"PRNU":[94],"estimation":[95,117],"schemes":[96,136],"accurately":[98],"deducing":[99],"information":[101],"from":[102],"NIR":[103,160],"iris":[104,161],"images.":[105,162],"We":[106],"also":[107,146],"analyze":[108],"impact":[110],"a":[112],"photometric":[113],"transformation":[114],"process.":[118],"Experiments":[119,145],"involving":[120],"12":[121],"and":[123,130,141],"9511":[124],"convey":[126,147],"Basic":[129],"Enhanced":[131],"Sensor":[132],"Pattern":[133],"Noise":[134],"(SPN)":[135],"outperform":[137],"Maximum":[139],"Likelihood":[140],"Phase-based":[142],"SPN":[143],"methods.":[144],"need":[149],"to":[150],"explore":[151],"alternate":[152],"methods":[153],"for":[154],"performing":[155]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}