{"id":"https://openalex.org/W2164723711","doi":"https://doi.org/10.1109/icsmc.2009.5346689","title":"Online signature verification algorithm with a user-specific global-parameter fusion model","display_name":"Online signature verification algorithm with a user-specific global-parameter fusion model","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2164723711","doi":"https://doi.org/10.1109/icsmc.2009.5346689","mag":"2164723711"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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/A5012748357","display_name":"Daigo Muramatsu","orcid":"https://orcid.org/0000-0002-0053-4868"},"institutions":[{"id":"https://openalex.org/I6030618","display_name":"Seikei University","ror":"https://ror.org/03ptaj492","country_code":"JP","type":"education","lineage":["https://openalex.org/I6030618"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daigo Muramatsu","raw_affiliation_strings":["Department of Electrical and Mechanical Engineering, Seikei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Mechanical Engineering, Seikei University, Tokyo, Japan","institution_ids":["https://openalex.org/I6030618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019731128","display_name":"Takashi Matsumoto","orcid":"https://orcid.org/0000-0002-7873-2303"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Matsumoto","raw_affiliation_strings":["Department of Electrical Engineering and Bioscience, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Bioscience, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012748357"],"corresponding_institution_ids":["https://openalex.org/I6030618"],"apc_list":null,"apc_paid":null,"fwci":1.9414,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.8850635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"486","last_page":"491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9995999932289124,"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/T10828","display_name":"Biometric Identification and Security","score":0.9994999766349792,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9973999857902527,"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":0.7304654121398926},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.684849739074707},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.5529336929321289},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.483323335647583},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4768570363521576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47354763746261597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42891326546669006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38649794459342957},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3530939817428589},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13507121801376343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304654121398926},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.684849739074707},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.5529336929321289},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.483323335647583},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4768570363521576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47354763746261597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42891326546669006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38649794459342957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3530939817428589},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13507121801376343},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W117518950","https://openalex.org/W1480822059","https://openalex.org/W1543181810","https://openalex.org/W1555292142","https://openalex.org/W1560013842","https://openalex.org/W1567512734","https://openalex.org/W1585588639","https://openalex.org/W2032210760","https://openalex.org/W2053438338","https://openalex.org/W2062219129","https://openalex.org/W2105881518","https://openalex.org/W2118002292","https://openalex.org/W2126562775","https://openalex.org/W2130416410","https://openalex.org/W2149506675","https://openalex.org/W2157616159","https://openalex.org/W2161343457","https://openalex.org/W4237606750","https://openalex.org/W4240278298","https://openalex.org/W4244952642","https://openalex.org/W6604820464","https://openalex.org/W6628629267","https://openalex.org/W6633403792","https://openalex.org/W6635024482"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W2152662039","https://openalex.org/W2726747157","https://openalex.org/W2004817612","https://openalex.org/W2010131506","https://openalex.org/W2392133813"],"abstract_inverted_index":{"Fusion":[0],"is":[1,31,53],"a":[2,44,54,62,69],"promising":[3],"strategy":[4],"to":[5],"improve":[6],"performance":[7],"in":[8],"biometrics,":[9],"and":[10,98,105],"many":[11],"fusion":[12,22,47,51,57,71],"methods":[13],"have":[14],"been":[15],"proposed.":[16],"Most":[17],"of":[18,95],"them":[19],"are":[20],"user-generic":[21,55],"strategies,":[23],"because":[24],"generating":[25],"user-specific":[26,45,70],"strategies":[27],"for":[28,100],"each":[29],"user":[30],"difficult.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36,66],"propose":[37],"an":[38],"online":[39],"signature":[40],"verification":[41],"method":[42],"using":[43,83],"global-parameter":[46],"model.":[48,72],"The":[49,87],"basic":[50],"model":[52],"(global-parameter)":[56],"model,":[58],"but":[59],"by":[60,82],"introducing":[61],"user-dependent":[63],"mean":[64],"vector,":[65],"can":[67],"generate":[68],"To":[73],"evaluate":[74],"the":[75,101],"proposed":[76,88],"algorithm,":[77],"several":[78],"experiments":[79],"were":[80],"performed":[81],"three":[84],"public":[85],"databases.":[86],"algorithm":[89],"yielded":[90],"equal":[91],"error":[92],"rates":[93],"(EERs)":[94],"4.0%,":[96],"8.6%,":[97],"6.1%":[99],"MCYT,":[102],"SVC2004":[103],"task2,":[104],"MyIDea":[106],"databases,":[107],"respectively.":[108]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}