{"id":"https://openalex.org/W2134674294","doi":"https://doi.org/10.1109/icpr.2006.145","title":"A Novel Vision based Finger-writing Character Recognition System","display_name":"A Novel Vision based Finger-writing Character Recognition System","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2134674294","doi":"https://doi.org/10.1109/icpr.2006.145","mag":"2134674294"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2006.145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2006.145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Conference on Pattern Recognition (ICPR'06)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080674767","display_name":"Lianwen Jin","orcid":"https://orcid.org/0000-0002-5456-0957"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianwen Jin","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","South China University of Technology,guangzhou"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of Technology,guangzhou","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100806684","display_name":"Duan-Duan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duanduan Yang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","South China University of Technology,guangzhou"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of Technology,guangzhou","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054366826","display_name":"Li-Xin Zhen","orcid":null},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li-Xin Zhen","raw_affiliation_strings":["Motorola China Research Center, Shanghai, China","Motorola China Research Center, Shanghai, 210000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Motorola China Research Center, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Motorola China Research Center, Shanghai, 210000, China","institution_ids":["https://openalex.org/I1333370159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034551256","display_name":"Jiancheng Huang","orcid":"https://orcid.org/0000-0003-2516-088X"},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian-Cheng Huang","raw_affiliation_strings":["Motorola China Research Center, Shanghai, China","Motorola China Research Center, Shanghai, 210000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Motorola China Research Center, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Motorola China Research Center, Shanghai, 210000, China","institution_ids":["https://openalex.org/I1333370159"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8716,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.69509896,"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":"1104","last_page":"1107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9987999796867371,"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":0.9940999746322632,"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":0.7602827548980713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7366430163383484},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6853864789009094},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6660612225532532},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.6059474945068359},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5745640397071838},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5336692333221436},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49363625049591064},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4934786558151245},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4397085905075073},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4390811324119568},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4244024455547333},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09865561127662659},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08581209182739258}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602827548980713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7366430163383484},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6853864789009094},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6660612225532532},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.6059474945068359},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5745640397071838},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5336692333221436},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49363625049591064},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4934786558151245},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4397085905075073},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4390811324119568},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4244024455547333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09865561127662659},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08581209182739258},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/icpr.2006.145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2006.145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Conference on Pattern Recognition (ICPR'06)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1560013842","https://openalex.org/W1693345094","https://openalex.org/W1735900717","https://openalex.org/W1842746249","https://openalex.org/W1852312282","https://openalex.org/W1907213793","https://openalex.org/W2106410133","https://openalex.org/W2110691957","https://openalex.org/W2114701396","https://openalex.org/W2118143383","https://openalex.org/W2124160263","https://openalex.org/W2126698653","https://openalex.org/W2133734895","https://openalex.org/W2136956005","https://openalex.org/W2140235142","https://openalex.org/W2142069714","https://openalex.org/W2142310655","https://openalex.org/W2145125115","https://openalex.org/W2148290050","https://openalex.org/W2149449227","https://openalex.org/W2150577385","https://openalex.org/W6676379910"],"related_works":["https://openalex.org/W2350424104","https://openalex.org/W2152949619","https://openalex.org/W2462298708","https://openalex.org/W1090580760","https://openalex.org/W4365793569","https://openalex.org/W2389991515","https://openalex.org/W2294301082","https://openalex.org/W2050706403","https://openalex.org/W2395120299","https://openalex.org/W2499438468"],"abstract_inverted_index":{"A":[0,74],"new":[1],"vision":[2],"based":[3,79],"finger":[4,70],"writing":[5],"character":[6,45,87],"recognition":[7],"system":[8],"(FWCRS)":[9],"is":[10,62,83,88],"proposed":[11],"in":[12],"this":[13,29,54],"paper.":[14],"The":[15,31,85],"FWCRS":[16,66,99],"allows":[17],"people":[18],"to":[19,67],"write":[20],"characters":[21,107],"virtually":[22],"just":[23],"using":[24],"his":[25],"finger-tip":[26,35],"(we":[27],"call":[28],"\"fingerwriting\").":[30],"trajectories":[32],"of":[33,43,111],"the":[34,65,98,109],"are":[36],"tracked":[37],"and":[38,47],"reconstructed":[39],"as":[40],"a":[41,51,56,92],"kind":[42],"inkless":[44],"pattern":[46],"finally":[48,89],"recognized":[49,90],"by":[50,91],"classifier.":[52,94],"In":[53],"paper,":[55],"simple":[57],"but":[58],"effective":[59],"background":[60],"model":[61],"built":[63],"for":[64],"segment":[68],"human":[69],"from":[71],"cluttered":[72],"background.":[73],"robust":[75],"fingertip":[76],"detection":[77],"algorithm":[78],"on":[80],"feature":[81],"matching":[82],"presented.":[84],"fingerwriting":[86],"DTW":[93],"Experiments":[95],"show":[96],"that":[97],"can":[100],"recognize":[101],"finger-writing":[102],"uppercase":[103],"&":[104],"lowercase":[105],"English":[106],"with":[108],"accuracy":[110],"95.6%,":[112],"98.5%":[113],"respectively.":[114]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}