{"id":"https://openalex.org/W2024439678","doi":"https://doi.org/10.1117/12.2051724","title":"Securing palmprint authentication systems using spoof detection approach","display_name":"Securing palmprint authentication systems using spoof detection approach","publication_year":2013,"publication_date":"2013-12-24","ids":{"openalex":"https://openalex.org/W2024439678","doi":"https://doi.org/10.1117/12.2051724","mag":"2024439678"},"language":"en","primary_location":{"id":"doi:10.1117/12.2051724","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2051724","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5016019632","display_name":"Vivek Kanhangad","orcid":"https://orcid.org/0000-0002-9791-3695"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vivek Kanhangad","raw_affiliation_strings":["Indian Institute of Technology Indore (India)","Indian Institute of Technology Indore, India;"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore (India)","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Indian Institute of Technology Indore, India;","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012487013","display_name":"Abhishek Kumar","orcid":"https://orcid.org/0000-0002-6022-3068"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhishek Kumar","raw_affiliation_strings":["Indian Institute of Technology Indore (India)","Indian Institute of Technology Indore, India;"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore (India)","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Indian Institute of Technology Indore, India;","institution_ids":["https://openalex.org/I64295750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016019632"],"corresponding_institution_ids":["https://openalex.org/I64295750"],"apc_list":null,"apc_paid":null,"fwci":0.3192,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56372262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9067","issue":null,"first_page":"90671M","last_page":"90671M"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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":0.9998999834060669,"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/T10751","display_name":"Forensic and Genetic Research","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9434000253677368,"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":0.8417942523956299},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7614023089408875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.709337592124939},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5967143177986145},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5826976895332336},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5569512248039246},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4990508556365967},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46221914887428284},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44435709714889526},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44058021903038025},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3751809597015381},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.23898160457611084},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.07209423184394836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8417942523956299},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7614023089408875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.709337592124939},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5967143177986145},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5826976895332336},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5569512248039246},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4990508556365967},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46221914887428284},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44435709714889526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44058021903038025},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3751809597015381},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.23898160457611084},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.07209423184394836},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2051724","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2051724","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W61962043","https://openalex.org/W101663867","https://openalex.org/W1007326001","https://openalex.org/W1523682477","https://openalex.org/W2013491563","https://openalex.org/W2041829617","https://openalex.org/W2100631656","https://openalex.org/W2103621928","https://openalex.org/W2107227001","https://openalex.org/W2125691649","https://openalex.org/W2136666231","https://openalex.org/W2152472358","https://openalex.org/W2153635508","https://openalex.org/W2163352848","https://openalex.org/W2165122902","https://openalex.org/W2479224257","https://openalex.org/W4243097765","https://openalex.org/W6653720148","https://openalex.org/W6682341577"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W2794489335","https://openalex.org/W2080437822","https://openalex.org/W2153027217","https://openalex.org/W1589677080","https://openalex.org/W3104966193","https://openalex.org/W2770255720","https://openalex.org/W1509533962"],"abstract_inverted_index":{"Automated":[0],"human":[1,93],"authentication":[2,162],"using":[3,67,71,142],"features":[4],"extracted":[5],"from":[6],"palmprint":[7,81,112,144,155,161],"images":[8,113,145],"has":[9,23],"been":[10,24],"studied":[11],"extensively":[12],"in":[13,150],"the":[14,19,25,41,51,62,92,97,104,123,129,151,172,189,193],"literature.":[15],"Primary":[16],"focus":[17],"of":[18,27,39,43,59,91,106,110,133,197],"studies":[20],"thus":[21],"far":[22],"improvement":[26],"matching":[28],"performance.":[29],"As":[30],"more":[31],"biometric":[32,83],"systems":[33,48,84,163],"get":[34],"deployed":[35],"for":[36,79,95,114,179],"wide":[37],"range":[38],"applications,":[40],"threat":[42],"impostor":[44],"attacks":[45,60,87,169],"on":[46,50,103],"these":[47],"is":[49,61,101,132,177],"rise.":[52],"The":[53,99],"most":[54],"common":[55],"among":[56],"various":[57],"types":[58],"sensor":[63],"level":[64],"spoof":[65,86,168,174],"attack":[66],"fake":[68,138,184],"hands":[69],"created":[70],"different":[72],"materials.":[73],"This":[74],"paper":[75],"investigates":[76],"an":[77],"approach":[78,100,176,191],"securing":[80],"based":[82,102],"against":[85],"that":[88,159],"use":[89],"photographs":[90],"hand":[94,135],"circumventing":[96],"system.":[98],"analysis":[105],"local":[107],"texture":[108],"patterns":[109],"acquired":[111],"extracting":[115],"discriminatory":[116],"features.":[117],"A":[118],"trained":[119],"binary":[120],"classifier":[121],"utilizes":[122],"discriminating":[124,180],"information":[125],"to":[126,147,167],"determine":[127],"if":[128],"input":[130],"image":[131,156,185],"real":[134,182],"or":[136],"a":[137],"one.":[139],"Experimental":[140],"results,":[141],"611":[143],"corresponding":[146],"100":[148],"subjects":[149],"publicly":[152],"available":[153],"IITD":[154],"database,":[157],"show":[158],"1)":[160],"are":[164],"highly":[165],"vulnerable":[166],"and":[170,183],"2)":[171],"proposed":[173,190],"detection":[175],"effective":[178],"between":[181],"samples.":[186],"In":[187],"particular,":[188],"achieves":[192],"best":[194],"classification":[195],"accuracy":[196],"97.35%.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
