{"id":"https://openalex.org/W2083830504","doi":"https://doi.org/10.4304/jsw.9.3.531-535","title":"Palmprint Recognition Using 2D-FLDA From a Single Image Per Person","display_name":"Palmprint Recognition Using 2D-FLDA From a Single Image Per Person","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2083830504","doi":"https://doi.org/10.4304/jsw.9.3.531-535","mag":"2083830504"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.9.3.531-535","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.9.3.531-535","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-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/A5100296486","display_name":"Jinyu Guo","orcid":"https://orcid.org/0009-0008-4791-5829"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinyu Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757326","display_name":"Haibin Chen","orcid":"https://orcid.org/0000-0002-5542-683X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haibin Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5064736086","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0002-7023-8677"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14787377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9987999796867371,"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":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8996559381484985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.601587176322937},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5363662838935852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5064607858657837},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.452075719833374},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3464469313621521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8996559381484985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.601587176322937},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5363662838935852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5064607858657837},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.452075719833374},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3464469313621521}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.9.3.531-535","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.9.3.531-535","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1968871700","https://openalex.org/W2001759547","https://openalex.org/W2038165640","https://openalex.org/W2054842624","https://openalex.org/W2062019416","https://openalex.org/W2323952301","https://openalex.org/W2387516656","https://openalex.org/W4285719527","https://openalex.org/W6700728981"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Two":[0],"dimensional":[1],"Fisher":[2],"linear":[3],"discriminant":[4,79],"analysis(2D-FLDA)":[5],"is":[6,41,107],"a":[7,38,56],"very":[8],"effective":[9],"method":[10,40,106],"for":[11],"palmprint":[12,80,100],"recognition.":[13],"However,":[14],"it":[15,110],"cannot":[16,32],"be":[17,33,68,74,88],"used":[18],"when":[19],"each":[20,65],"object":[21],"has":[22,111],"only":[23],"one":[24],"training":[25,58,62],"sample":[26],"because":[27],"the":[28,48,71,78,84,91,98,104],"within-class":[29],"scatter":[30],"matrices":[31],"calculated.":[34],"In":[35],"this":[36,45],"paper,":[37],"novel":[39],"developed":[42],"to":[43,76],"solve":[44],"problem.":[46],"Using":[47],"block":[49],"segmentation,":[50],"wavelet":[51],"transform,":[52],"and":[53,109],"sampling":[54],"methods,":[55],"new":[57],"set":[59],"containing":[60],"three":[61],"samples":[63],"in":[64],"class":[66],"can":[67,73,87],"obtained.":[69],"Then":[70],"2D-FLDA":[72],"applied":[75],"extract":[77],"feature":[81],"vectors.":[82],"Finally":[83],"pattern":[85],"classification":[86],"implemented":[89],"by":[90],"nearest":[92],"neighbor":[93],"classifier.":[94],"Experimental":[95],"results":[96],"on":[97],"PolyU":[99],"database":[101],"show":[102],"that":[103],"proposed":[105],"efficient":[108],"better":[112],"recognition":[113],"performance":[114],"than":[115],"many":[116],"existing":[117],"schemes.":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
