{"id":"https://openalex.org/W1974672153","doi":"https://doi.org/10.1109/ijcb.2011.6117804","title":"Palm vein recognition with Local Binary Patterns and Local Derivative Patterns","display_name":"Palm vein recognition with Local Binary Patterns and Local Derivative Patterns","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W1974672153","doi":"https://doi.org/10.1109/ijcb.2011.6117804","mag":"1974672153"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb.2011.6117804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb.2011.6117804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/170506","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042436000","display_name":"Leila Mirmohamadsadeghi","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Leila Mirmohamadsadeghi","raw_affiliation_strings":["Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland","Swiss Federal Institude of Technology Lausanne (EPFL), CH-1015, Switzerland"],"affiliations":[{"raw_affiliation_string":"Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Swiss Federal Institude of Technology Lausanne (EPFL), CH-1015, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111445247","display_name":"Andrzej Drygajlo","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Andrzej Drygajlo","raw_affiliation_strings":["Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland","Swiss Federal Institude of Technology Lausanne (EPFL), CH-1015, Switzerland"],"affiliations":[{"raw_affiliation_string":"Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Swiss Federal Institude of Technology Lausanne (EPFL), CH-1015, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042436000"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":7.7989,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.98093565,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","score":0.9735000133514404,"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/T14333","display_name":"Dermatoglyphics and Human Traits","score":0.9708999991416931,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.9170510768890381},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.8115434646606445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7572321891784668},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7487838268280029},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6563833951950073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6459146738052368},{"id":"https://openalex.org/keywords/palm","display_name":"Palm","score":0.4832926094532013},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47458744049072266},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47176483273506165},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.45731326937675476},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42523786425590515},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24750664830207825}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.9170510768890381},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8115434646606445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7572321891784668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7487838268280029},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6563833951950073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6459146738052368},{"id":"https://openalex.org/C94598645","wikidata":"https://www.wikidata.org/wiki/Q2347874","display_name":"Palm","level":2,"score":0.4832926094532013},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47458744049072266},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47176483273506165},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.45731326937675476},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42523786425590515},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24750664830207825},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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":4,"locations":[{"id":"doi:10.1109/ijcb.2011.6117804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb.2011.6117804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.361.1970","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.361.1970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://infoscience.epfl.ch/record/170506/files/submission_final_modif.pdf","raw_type":"text"},{"id":"pmh:oai:infoscience.epfl.ch:170506","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/170506","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:infoscience.tind.io:170506","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/73009","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:170506","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/170506","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W80511870","https://openalex.org/W1515130115","https://openalex.org/W1545641654","https://openalex.org/W1560006303","https://openalex.org/W1968944847","https://openalex.org/W2021253064","https://openalex.org/W2021442396","https://openalex.org/W2052131938","https://openalex.org/W2074487155","https://openalex.org/W2078983375","https://openalex.org/W2097290407","https://openalex.org/W2097777575","https://openalex.org/W2139208958","https://openalex.org/W2149197198","https://openalex.org/W2149407554","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2914885528","https://openalex.org/W4246794637","https://openalex.org/W6603225286","https://openalex.org/W6630682081"],"related_works":["https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2058306460","https://openalex.org/W2955952267","https://openalex.org/W2083564146","https://openalex.org/W2076436625","https://openalex.org/W2148428954","https://openalex.org/W2168886923","https://openalex.org/W2049095871"],"abstract_inverted_index":{"Palm":[0],"vein":[1,51,70,111,134],"feature":[2,73],"extraction":[3,74],"from":[4],"near":[5],"infrared":[6],"images":[7],"is":[8,28],"a":[9,19],"challenging":[10],"problem":[11],"in":[12,42,80,131],"hand":[13],"pattern":[14,56],"recognition.":[15],"In":[16],"this":[17],"paper,":[18],"promising":[20],"new":[21,46],"approach":[22],"based":[23,58],"on":[24,59,90,114],"local":[25,55],"texture":[26],"patterns":[27],"proposed.":[29],"First,":[30],"operators":[31],"and":[32,78,85,102,136],"histograms":[33,64],"of":[34,83],"multi-scale":[35],"Local":[36,60],"Binary":[37],"Patterns":[38],"(LBPs)":[39],"are":[40,65,76,106],"investigated":[41,67],"order":[43],"to":[44,109],"identify":[45,99],"efficient":[47],"descriptors":[48,57,104,125],"for":[49,68],"palm":[50,69,110,133],"patterns.":[52],"Novel":[53],"higher-order":[54],"Derivative":[61],"Pattern":[62],"(LDP)":[63],"then":[66],"description.":[71],"Both":[72],"methods":[75],"compared":[77],"evaluated":[79],"the":[81,100,115,121],"framework":[82],"verification":[84,135],"identification":[86],"tasks.":[87],"Extensive":[88],"experiments":[89],"CASIA":[91,116],"Multi-Spectral":[92],"Palmprint":[93],"Image":[94],"Database":[95],"V1.0":[96],"(CASIA":[97],"database)":[98],"LBP":[101,129],"LDP":[103,124],"which":[105],"better":[107],"adapted":[108,123],"texture.":[112],"Tests":[113],"datasets":[117],"also":[118],"show":[119],"that":[120],"best":[122],"consistently":[126],"outperform":[127],"their":[128],"counterparts":[130],"both":[132],"identification.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
