{"id":"https://openalex.org/W2969549661","doi":"https://doi.org/10.1109/est.2019.8806220","title":"Spatio-Temporal Texture Features for Presentation Attack Detection in Biometric Systems","display_name":"Spatio-Temporal Texture Features for Presentation Attack Detection in Biometric Systems","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2969549661","doi":"https://doi.org/10.1109/est.2019.8806220","mag":"2969549661"},"language":"en","primary_location":{"id":"doi:10.1109/est.2019.8806220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/est.2019.8806220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","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/A5066118860","display_name":"Pan Shi","orcid":"https://orcid.org/0000-0001-8240-4663"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Shi Pan","raw_affiliation_strings":["University of Kent, Canterbury, Kent, UK"],"affiliations":[{"raw_affiliation_string":"University of Kent, Canterbury, Kent, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067851689","display_name":"Farzin Deravi","orcid":"https://orcid.org/0000-0003-0885-437X"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Farzin Deravi","raw_affiliation_strings":["University of Kent, Canterbury, Kent, UK"],"affiliations":[{"raw_affiliation_string":"University of Kent, Canterbury, Kent, UK","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066118860"],"corresponding_institution_ids":["https://openalex.org/I20581793"],"apc_list":null,"apc_paid":null,"fwci":0.5027,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63485477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9843000173568726,"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":0.8175568580627441},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7694689035415649},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.7608569860458374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7309809327125549},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6870487332344055},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6516965627670288},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.634293794631958},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5831423997879028},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5727570652961731},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5457349419593811},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.47593095898628235},{"id":"https://openalex.org/keywords/replay-attack","display_name":"Replay attack","score":0.43173089623451233},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.42862528562545776},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.4229358732700348},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3753562569618225},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.14209502935409546},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11153483390808105},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.06303662061691284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8175568580627441},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7694689035415649},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.7608569860458374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7309809327125549},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6870487332344055},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6516965627670288},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.634293794631958},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5831423997879028},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5727570652961731},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5457349419593811},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.47593095898628235},{"id":"https://openalex.org/C11560541","wikidata":"https://www.wikidata.org/wiki/Q1756025","display_name":"Replay attack","level":3,"score":0.43173089623451233},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42862528562545776},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.4229358732700348},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3753562569618225},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.14209502935409546},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11153483390808105},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.06303662061691284},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/est.2019.8806220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/est.2019.8806220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","raw_type":"proceedings-article"},{"id":"pmh:oai:kar.kent.ac.uk:76082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/EST.2019.8806220>)","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1704933117","https://openalex.org/W1770095230","https://openalex.org/W1982209341","https://openalex.org/W2004211009","https://openalex.org/W2072273451","https://openalex.org/W2106938474","https://openalex.org/W2107227001","https://openalex.org/W2108598243","https://openalex.org/W2129622867","https://openalex.org/W2131842403","https://openalex.org/W2163352848","https://openalex.org/W2163487272","https://openalex.org/W2294567968","https://openalex.org/W2325939864","https://openalex.org/W2341318667","https://openalex.org/W2409050142","https://openalex.org/W2565867885","https://openalex.org/W2617869948","https://openalex.org/W2739060149","https://openalex.org/W2791912416","https://openalex.org/W2887280559","https://openalex.org/W2908381090","https://openalex.org/W6637339757","https://openalex.org/W6684314024","https://openalex.org/W6700903540","https://openalex.org/W6744102282"],"related_works":["https://openalex.org/W2104492225","https://openalex.org/W1990254706","https://openalex.org/W2404514746","https://openalex.org/W2794664665","https://openalex.org/W1843372508","https://openalex.org/W3007059209","https://openalex.org/W4220832730","https://openalex.org/W4313224733","https://openalex.org/W1688416049","https://openalex.org/W4312120756"],"abstract_inverted_index":{"Spatio-temporal":[0],"information":[1],"is":[2],"valuable":[3],"as":[4,21,63],"a":[5,38],"discriminative":[6],"cue":[7],"for":[8],"presentation":[9],"attack":[10],"detection,":[11],"where":[12],"the":[13,82,89,92],"temporal":[14,54],"texture":[15,55],"changes":[16],"and":[17,75,79,85],"fine-grained":[18],"motions":[19],"(such":[20],"eye":[22],"blinking)":[23],"can":[24,47],"be":[25],"indicative":[26],"of":[27,30,58,91],"some":[28],"types":[29],"spoofing":[31],"attacks.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36],"propose":[37],"novel":[39],"spatio-temporal":[40],"feature,":[41],"based":[42],"on":[43],"motion":[44,59],"history,":[45],"which":[46],"offer":[48],"an":[49],"efficient":[50],"way":[51],"to":[52],"encapsulate":[53],"changes.":[56],"Patterns":[57,74],"history":[60],"are":[61],"used":[62],"primary":[64],"features":[65],"followed":[66],"by":[67],"secondary":[68],"feature":[69],"extraction":[70],"using":[71,81],"Local":[72],"Binary":[73],"Convolutional":[76],"Neural":[77],"Networks,":[78],"evaluated":[80],"Replay":[83],"Attack":[84],"CASIA-FASD":[86],"datasets,":[87],"demonstrating":[88],"effectiveness":[90],"proposed":[93],"approach.":[94]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
