{"id":"https://openalex.org/W2031483260","doi":"https://doi.org/10.1109/socpar.2011.6089132","title":"Improved linear discriminant analysis based on two-dimensional Gabor for palmprint recognition","display_name":"Improved linear discriminant analysis based on two-dimensional Gabor for palmprint recognition","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2031483260","doi":"https://doi.org/10.1109/socpar.2011.6089132","mag":"2031483260"},"language":"en","primary_location":{"id":"doi:10.1109/socpar.2011.6089132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2011.6089132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR)","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/A5004363895","display_name":"Shuang Xu","orcid":"https://orcid.org/0000-0003-3576-6914"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]},{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuang Xu","raw_affiliation_strings":["Information & Communication Engineering, Dalian Nationalities of University, Dalian, China","Information Science & Technology, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Information & Communication Engineering, Dalian Nationalities of University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]},{"raw_affiliation_string":"Information Science & Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081326254","display_name":"Jidong Suo","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jidong Suo","raw_affiliation_strings":["Information Science & Technology, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Information Science & Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102045691","display_name":"Jifeng Ding","orcid":"https://orcid.org/0009-0005-0975-4487"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jifeng Ding","raw_affiliation_strings":["Information & Communication Engineering, Dalian Nationalities of University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Information & Communication Engineering, Dalian Nationalities of University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004363895"],"corresponding_institution_ids":["https://openalex.org/I61565387","https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.09567304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"160"},"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":0.9861000180244446,"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":0.9649999737739563,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.8424985408782959},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.8418957591056824},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.8378068208694458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7804226875305176},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5672355890274048},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5085772275924683},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.48412737250328064},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4793708622455597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46856358647346497},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4507942795753479},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.38051050901412964},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.2965625524520874},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.16224905848503113}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8424985408782959},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.8418957591056824},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8378068208694458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7804226875305176},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5672355890274048},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5085772275924683},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.48412737250328064},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4793708622455597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46856358647346497},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4507942795753479},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.38051050901412964},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2965625524520874},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.16224905848503113},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socpar.2011.6089132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2011.6089132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2024929112","https://openalex.org/W2090341258","https://openalex.org/W2094102746","https://openalex.org/W2111410439","https://openalex.org/W2114214092","https://openalex.org/W2120886275","https://openalex.org/W2130283969","https://openalex.org/W2130982917","https://openalex.org/W2133848164","https://openalex.org/W2145238401","https://openalex.org/W2165731615","https://openalex.org/W2167034998","https://openalex.org/W2171937595","https://openalex.org/W3112293456","https://openalex.org/W6679281837"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W1710806717","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2394322125","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983"],"abstract_inverted_index":{"In":[0,59],"this":[1,60],"paper,":[2],"a":[3,15,47],"method":[4,18,35,50],"of":[5,25,40,85],"Gabor":[6,22,63],"plus":[7],"improved":[8,16,44],"two-dimensional":[9,31],"linear":[10,32],"discriminant":[11,33],"(Gabor+12DLDA)":[12],"which":[13,51],"is":[14,28,46,52,89],"2DLDA":[17,45,49,57],"by":[19],"integrating":[20],"the":[21,37,41,55,62,81,86,93],"wavelet":[23],"representation":[24],"palm":[26],"images":[27],"proposed.":[29],"Traditional":[30],"(2DLDA)":[34],"eliminates":[36],"column":[38],"relevance":[39],"image,":[42],"while":[43,79],"direct":[48],"defined":[53],"in":[54],"traditional":[56],"basis.":[58],"approach,":[61],"wavelets":[64],"are":[65],"used":[66],"to":[67],"extract":[68],"palmprint":[69,76,95,98],"features.":[70],"The":[71,83],"proposed":[72,87],"Gabor+12DLDA":[73],"yields":[74],"greater":[75],"recognition":[77],"accuracy":[78],"reduces":[80],"dimension.":[82],"effectiveness":[84],"algorithm":[88],"also":[90],"verified":[91],"using":[92],"PolyU":[94],"databases":[96],"for":[97],"recognition.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
