{"id":"https://openalex.org/W1905672068","doi":"https://doi.org/10.1109/isspit.2014.7300633","title":"A robust feature for single image camera identification using local binary patterns","display_name":"A robust feature for single image camera identification using local binary patterns","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1905672068","doi":"https://doi.org/10.1109/isspit.2014.7300633","mag":"1905672068"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2014.7300633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2014.7300633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5043307061","display_name":"Farbod Razzazi","orcid":"https://orcid.org/0000-0003-4970-8117"},"institutions":[{"id":"https://openalex.org/I155419210","display_name":"Islamic Azad University, Science and Research Branch","ror":"https://ror.org/03187yj51","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I155419210"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Farbod Razzazi","raw_affiliation_strings":["Department of Electrical and Computer Engineering Islamic, Azad University Science and Research Branch, Tehran, Iran","Department of Electrical and Computer Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Islamic, Azad University Science and Research Branch, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077916225","display_name":"Alireza Seyedabadi","orcid":null},"institutions":[{"id":"https://openalex.org/I155419210","display_name":"Islamic Azad University, Science and Research Branch","ror":"https://ror.org/03187yj51","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I155419210"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Alireza Seyedabadi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Islamic Azad University Science and Research Branch, Tehran, Iran","Department of Electrical and Computer Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Islamic Azad University Science and Research Branch, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043307061"],"corresponding_institution_ids":["https://openalex.org/I155419210"],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66477054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"000462","last_page":"000467"},"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":0.9991999864578247,"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/T11439","display_name":"Video Analysis and Summarization","score":0.993399977684021,"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":0.7970156669616699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7161693572998047},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6665491461753845},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6589192152023315},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5751525163650513},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.557342529296875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5376637578010559},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.512631356716156},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49163204431533813},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.46235498785972595},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4390562176704407},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.4353751540184021},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.4300971031188965},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.39473971724510193},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3556298017501831},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29899588227272034},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.19943737983703613},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.15795692801475525}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7970156669616699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7161693572998047},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6665491461753845},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6589192152023315},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5751525163650513},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.557342529296875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5376637578010559},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.512631356716156},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49163204431533813},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.46235498785972595},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4390562176704407},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.4353751540184021},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.4300971031188965},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.39473971724510193},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3556298017501831},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29899588227272034},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.19943737983703613},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.15795692801475525},{"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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/isspit.2014.7300633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2014.7300633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.550000011920929,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1984074113","https://openalex.org/W2001426616","https://openalex.org/W2010864054","https://openalex.org/W2020426643","https://openalex.org/W2049771774","https://openalex.org/W2055219403","https://openalex.org/W2097290407","https://openalex.org/W2124695272","https://openalex.org/W2132711270","https://openalex.org/W2142207584","https://openalex.org/W2147141800","https://openalex.org/W2148610715","https://openalex.org/W2151939419","https://openalex.org/W2152857706","https://openalex.org/W2153635508","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2172196609","https://openalex.org/W3120421331","https://openalex.org/W6652861458","https://openalex.org/W6682672129"],"related_works":["https://openalex.org/W2601209352","https://openalex.org/W4313377945","https://openalex.org/W4220747575","https://openalex.org/W3204374377","https://openalex.org/W2164990255","https://openalex.org/W2111280862","https://openalex.org/W2167365418","https://openalex.org/W2545896937","https://openalex.org/W2049997602","https://openalex.org/W2099087328"],"abstract_inverted_index":{"Most":[0],"of":[1,46,72,111],"the":[2,20,33,43,47,76,112,118],"camera":[3,26,102,114],"identification":[4,27,103,115],"methods":[5,116],"work":[6],"in":[7,11,99,124],"batch":[8],"mode.":[9],"However,":[10],"many":[12],"applications,":[13],"there":[14],"is":[15,65],"just":[16],"one":[17],"image":[18,48,63],"from":[19,75],"resource.":[21],"In":[22,41,57],"addition,":[23],"previous":[24],"proposed":[25,66],"algorithms":[28],"are":[29],"prepared":[30],"to":[31],"classify":[32],"sources":[34],"for":[35],"a":[36,60],"specified":[37],"compression":[38,44,86],"quality":[39,87,129],"factor.":[40],"contrast,":[42],"qualities":[45],"may":[49],"be":[50],"changed":[51],"during":[52],"further":[53],"processing":[54],"and":[55,94,120,127],"tampering.":[56],"this":[58],"paper,":[59],"new":[61],"single":[62],"feature":[64,80,90],"based":[67],"on":[68,117],"local":[69],"binary":[70],"pattern":[71],"extracted":[73],"edges":[74],"input":[77],"image.":[78],"The":[79,89,105],"showed":[81,95],"good":[82],"robustness":[83],"against":[84],"JPEG":[85],"variations.":[88],"was":[91,107],"empirically":[92],"explored":[93],"its":[96,122],"discrimination":[97],"characteristics":[98],"Dresden":[100],"standard":[101],"dataset.":[104],"method":[106],"assessed":[108],"with":[109],"state":[110],"art":[113],"dataset":[119],"revealed":[121],"capabilities":[123],"both":[125],"high":[126],"low":[128],"images.":[130]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}