{"id":"https://openalex.org/W2110691957","doi":"https://doi.org/10.1109/icassp.2005.1416337","title":"One Stroke Cursive Character Recognition Using Combination of Directional and Positional Features","display_name":"One Stroke Cursive Character Recognition Using Combination of Directional and Positional Features","publication_year":2006,"publication_date":"2006-10-04","ids":{"openalex":"https://openalex.org/W2110691957","doi":"https://doi.org/10.1109/icassp.2005.1416337","mag":"2110691957"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1416337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","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/A5061320390","display_name":"Teng Long","orcid":"https://orcid.org/0000-0003-3519-7790"},"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":true,"raw_author_name":"Teng Long","raw_affiliation_strings":["School of Electronics and Information, South China University of Technology, Guangzhou, China","Sch. of Electron. & Inf., South China Univ. of Technol., Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Sch. of Electron. & Inf., South China Univ. of Technol., Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","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":"Lian-Wen Jin","raw_affiliation_strings":["School of Electronics and Information, South China University of Technology, Guangzhou, China","Sch. of Electron. & Inf., South China Univ. of Technol., Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Sch. of Electron. & Inf., South China Univ. of Technol., Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054366826","display_name":"Li-Xin Zhen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li-Xin Zhen","raw_affiliation_strings":["Motorola China Research Center, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Motorola China Research Center, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034551256","display_name":"Jiancheng Huang","orcid":"https://orcid.org/0000-0003-2516-088X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian-Cheng Huang","raw_affiliation_strings":["Motorola China Research Center, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Motorola China Research Center, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061320390"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.5805,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84115672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"449","last_page":"452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9932000041007996,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9865000247955322,"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/cursive","display_name":"Cursive","score":0.8678855895996094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7882452607154846},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.6731685996055603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6580705642700195},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6159631013870239},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5645444393157959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5615026950836182},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.5209192633628845},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.5151970982551575},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.4782366156578064},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45417875051498413},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43866145610809326},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4351857304573059},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39140504598617554},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11801880598068237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11396640539169312}],"concepts":[{"id":"https://openalex.org/C2778943297","wikidata":"https://www.wikidata.org/wiki/Q1079418","display_name":"Cursive","level":2,"score":0.8678855895996094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882452607154846},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.6731685996055603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6580705642700195},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6159631013870239},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5645444393157959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5615026950836182},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.5209192633628845},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.5151970982551575},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.4782366156578064},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45417875051498413},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43866145610809326},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4351857304573059},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39140504598617554},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11801880598068237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11396640539169312},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2005.1416337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.848.6054","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.848.6054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.hcii-lab.net/download/papers/2005/One%20stroke%20cursive%20character%20recognition%20using%20combination%20of%20directional%20and%20positional%20features%20%28ICASSP2005%29.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1501400124","https://openalex.org/W1967320885","https://openalex.org/W1994204888","https://openalex.org/W2012338341","https://openalex.org/W2105004615","https://openalex.org/W2115675483","https://openalex.org/W2142069714"],"related_works":["https://openalex.org/W2601165980","https://openalex.org/W2370166062","https://openalex.org/W2283296111","https://openalex.org/W3160563493","https://openalex.org/W1987778768","https://openalex.org/W3033428827","https://openalex.org/W2138799855","https://openalex.org/W4220796434","https://openalex.org/W2394029419","https://openalex.org/W2110769497"],"abstract_inverted_index":{"The":[0,144],"paper":[1],"proposes":[2],"a":[3,21,33,45,70,91,95,113,135],"new":[4],"hybrid":[5],"approach":[6,148],"of":[7,38,49,82,146],"directional":[8,96,99],"and":[9,127],"positional":[10,92],"features":[11],"for":[12,59,69,86,141],"on-line":[13],"one":[14,60],"stroke":[15,61],"cursive":[16,62],"character":[17,51,63],"recognition":[18],"based":[19,30],"on":[20],"dynamic":[22],"time":[23],"warping":[24],"(DTW)":[25],"algorithm.":[26],"In":[27],"our":[28,55,147],"camera":[29],"user":[31,34],"interface,":[32],"inputs":[35],"various":[36],"kinds":[37],"characters,":[39,42],"including":[40,124],"Chinese":[41,125],"by":[43,134,151],"moving":[44],"fingertip.":[46],"All":[47],"strokes":[48],"the":[50,80,83,106,116,128,137,152],"are":[52],"connected,":[53],"so":[54],"recognizer":[56,138],"is":[57,74,119,139,149],"designed":[58],"recognition.":[64],"A":[65],"quadratic":[66],"curve":[67],"equation":[68],"local":[71],"distance":[72],"measure":[73],"employed":[75],"in":[76],"DTW":[77],"to":[78,102],"improve":[79],"robustness":[81],"classifier,":[84],"especially":[85],"complicated":[87],"characters.":[88],"By":[89],"reconstructing":[90],"feature":[93],"from":[94],"feature,":[97],"only":[98],"vectors":[100],"need":[101],"be":[103,111,131],"recorded.":[104],"Thus,":[105],"template":[107,117],"file":[108],"size":[109,118],"can":[110,130],"reduced":[112],"lot.":[114],"As":[115],"small":[120],"(about":[121],"300":[122],"K":[123],"characters)":[126],"templates":[129],"easily":[132],"customized":[133],"user,":[136],"suitable":[140],"hand-held":[142],"devices.":[143],"efficiency":[145],"demonstrated":[150],"promising":[153],"experimental":[154],"results.":[155]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}