{"id":"https://openalex.org/W2063746777","doi":"https://doi.org/10.1109/wcsp.2010.5633905","title":"A spectral domain feature extraction scheme for palm-print recognition","display_name":"A spectral domain feature extraction scheme for palm-print recognition","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2063746777","doi":"https://doi.org/10.1109/wcsp.2010.5633905","mag":"2063746777"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2010.5633905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2010.5633905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Wireless Communications &amp; Signal Processing (WCSP)","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/A5050412499","display_name":"Hafiz Imitas","orcid":null},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Hafiz Imitas","raw_affiliation_strings":["Bangladesh University of Engineering and Technology, Dhaka, Dhaka District, BD","Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bangladesh University of Engineering and Technology, Dhaka, Dhaka District, BD","institution_ids":["https://openalex.org/I183697816"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074606314","display_name":"Shaikh Anowarul Fattah","orcid":"https://orcid.org/0000-0001-8090-2327"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Shaikh Anowarul Fattah","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.14212198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9983999729156494,"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":0.9983999729156494,"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":0.993399977684021,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7508406639099121},{"id":"https://openalex.org/keywords/palm-print","display_name":"Palm print","score":0.7313833832740784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.712126612663269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6583739519119263},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6464142203330994},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5532962083816528},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4951144754886627},{"id":"https://openalex.org/keywords/palm","display_name":"Palm","score":0.485965371131897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4641353487968445},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43544289469718933},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.42919617891311646},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42035558819770813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2292017936706543},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.09333202242851257}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7508406639099121},{"id":"https://openalex.org/C2777503689","wikidata":"https://www.wikidata.org/wiki/Q7128108","display_name":"Palm print","level":3,"score":0.7313833832740784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.712126612663269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6583739519119263},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6464142203330994},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5532962083816528},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4951144754886627},{"id":"https://openalex.org/C94598645","wikidata":"https://www.wikidata.org/wiki/Q2347874","display_name":"Palm","level":2,"score":0.485965371131897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4641353487968445},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43544289469718933},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.42919617891311646},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42035558819770813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2292017936706543},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.09333202242851257},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2010.5633905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2010.5633905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Wireless Communications &amp; Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1968353813","https://openalex.org/W2080033855","https://openalex.org/W2111933206","https://openalex.org/W2121038118","https://openalex.org/W2125936497","https://openalex.org/W2128471749","https://openalex.org/W2136568791","https://openalex.org/W2148694408","https://openalex.org/W2157760397","https://openalex.org/W2163254531","https://openalex.org/W4236844765","https://openalex.org/W4292023222","https://openalex.org/W6678069231","https://openalex.org/W6680279793"],"related_works":["https://openalex.org/W1602557501","https://openalex.org/W2765988996","https://openalex.org/W3135266770","https://openalex.org/W2260048578","https://openalex.org/W79564642","https://openalex.org/W2736294736","https://openalex.org/W1813403894","https://openalex.org/W2329581426","https://openalex.org/W2357088827","https://openalex.org/W2284335464"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,22,85,134],"spectral":[4,58],"feature":[5,38,59,81],"extraction":[6,39],"algorithm":[7,61],"is":[8,28,40,52,62,116,127],"proposed":[9,56,114,131],"for":[10],"palm-print":[11,23,70,104],"recognition,":[12],"which":[13,72],"can":[14],"efficiently":[15],"capture":[16],"the":[17,35,55,66,69,76,108,113,123,130],"detail":[18],"spatial":[19],"variations":[20],"in":[21,43],"image.":[24],"The":[25],"entire":[26],"image":[27,105],"segmented":[29],"into":[30],"several":[31],"narrow-width":[32],"bands":[33],"and":[34,90,107],"task":[36],"of":[37,64,78,120,122,138],"carried":[41,97],"out":[42,98],"each":[44],"band":[45],"using":[46],"two":[47],"dimensional":[48],"Fourier":[49],"transform.":[50],"It":[51,126],"shown":[53],"that":[54,129],"dominant":[57],"selection":[60],"capable":[63],"capturing":[65],"variation":[67],"within":[68],"image,":[71],"provides":[73],"not":[74],"only":[75],"advantage":[77],"very":[79,86,135],"low":[80],"dimension":[82],"but":[83],"also":[84],"high":[87,136],"within-class":[88],"compactness":[89],"between-class":[91],"separability.":[92],"Extensive":[93],"experimentations":[94],"have":[95],"been":[96],"upon":[99],"different":[100],"publicly":[101],"available":[102],"standard":[103],"databases":[106],"recognition":[109,139],"performance":[110],"obtained":[111],"by":[112],"method":[115,132],"compared":[117],"with":[118,142],"those":[119],"some":[121],"recent":[124],"methods.":[125],"found":[128],"offers":[133],"degree":[137],"accuracy":[140],"along":[141],"huge":[143],"computational":[144],"savings.":[145]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
