{"id":"https://openalex.org/W2020311247","doi":"https://doi.org/10.1109/ncc.2015.7084876","title":"Curvature point based HMM state prediction for online handwritten assamese strokes recognition","display_name":"Curvature point based HMM state prediction for online handwritten assamese strokes recognition","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W2020311247","doi":"https://doi.org/10.1109/ncc.2015.7084876","mag":"2020311247"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2015.7084876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2015.7084876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Twenty First National Conference on Communications (NCC)","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/A5102968477","display_name":"Subhasis Mandal","orcid":"https://orcid.org/0000-0003-0826-1814"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]},{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Subhasis Mandal","raw_affiliation_strings":["Dept. of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati,, Guwahati, India","Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati,, Guwahati, India","institution_ids":["https://openalex.org/I1317621060","https://openalex.org/I4210089896"]},{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052129812","display_name":"S. R. Mahadeva Prasanna","orcid":"https://orcid.org/0000-0002-8135-7938"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]},{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. R. Mahadeva Prasanna","raw_affiliation_strings":["Dept. of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati,, Guwahati, India","Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati,, Guwahati, India","institution_ids":["https://openalex.org/I1317621060","https://openalex.org/I4210089896"]},{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108023752","display_name":"Suresh Sundaram","orcid":"https://orcid.org/0000-0002-8713-6650"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]},{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suresh Sundaram","raw_affiliation_strings":["Dept. of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati,, Guwahati, India","Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati,, Guwahati, India","institution_ids":["https://openalex.org/I1317621060","https://openalex.org/I4210089896"]},{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102968477"],"corresponding_institution_ids":["https://openalex.org/I1317621060","https://openalex.org/I4210089896"],"apc_list":null,"apc_paid":null,"fwci":0.3682,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67692875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":1.0,"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":1.0,"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":0.9980000257492065,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.9243615865707397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6243082880973816},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5215887427330017},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5200152397155762},{"id":"https://openalex.org/keywords/assamese","display_name":"Assamese","score":0.5185906887054443},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5145403742790222},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5028397440910339},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.450950562953949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44076991081237793},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42515113949775696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2947131097316742}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.9243615865707397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6243082880973816},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5215887427330017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5200152397155762},{"id":"https://openalex.org/C2777834912","wikidata":"https://www.wikidata.org/wiki/Q29401","display_name":"Assamese","level":2,"score":0.5185906887054443},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5145403742790222},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5028397440910339},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.450950562953949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44076991081237793},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42515113949775696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2947131097316742},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/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/ncc.2015.7084876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2015.7084876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Twenty First National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321071","display_name":"Department of Electronics and Information Technology, Ministry of Communications and Information Technology","ror":"https://ror.org/02z31cn83"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1566222897","https://openalex.org/W1995424536","https://openalex.org/W2007257917","https://openalex.org/W2055900849","https://openalex.org/W2057619148","https://openalex.org/W2078886421","https://openalex.org/W2080220147","https://openalex.org/W2105558399","https://openalex.org/W2122585011","https://openalex.org/W2125838338","https://openalex.org/W2129307381","https://openalex.org/W2131612517","https://openalex.org/W2142364024","https://openalex.org/W2142978586","https://openalex.org/W2296201317","https://openalex.org/W2799061466","https://openalex.org/W2799148064","https://openalex.org/W3146331408","https://openalex.org/W4285719527","https://openalex.org/W6633921305","https://openalex.org/W6696968933"],"related_works":["https://openalex.org/W2248864000","https://openalex.org/W2059553699","https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W1987783679","https://openalex.org/W2160030256","https://openalex.org/W1521297879","https://openalex.org/W4253235840"],"abstract_inverted_index":{"Hidden":[0],"Markov":[1],"Models":[2],"(HMM)":[3],"are":[4,17,30],"used":[5],"in":[6,26,156,196,214],"handwritten":[7,83,111],"strokes":[8,53],"recognition":[9],"task.":[10],"The":[11,85,160,185,199],"two":[12,31,99],"design":[13],"parameters":[14],"of":[15,20,24,37,42,47,52,59,78,117,127,140,148,158,166,175,205,216],"HMM":[16,106,161],"the":[18,35,50,96,115,125,131,135,138,145,149,203,206,210],"number":[19,23,36,41,46,58,77,116,126,139],"states":[21,43,60,79,128,141],"and":[22,44,123],"mixtures":[25],"each":[27],"state.":[28,107],"There":[29],"approaches":[32],"for":[33,80],"finding":[34],"states,":[38],"namely,":[39],"equal":[40],"variable":[45,57,76],"states.":[48],"Since":[49],"shape":[51,113,146,218],"will":[54,121],"be":[55,63],"different,":[56],"approach":[61],"should":[62],"beneficial.":[64],"This":[65],"work":[66],"proposes":[67],"a":[68,82,92,173],"curvature":[69],"point":[70],"detection":[71],"based":[72,109,162],"method":[73,87],"to":[74,130,144,154],"predict":[75],"modeling":[81],"stroke.":[84,133],"proposed":[86,136,207],"selects":[88],"appropriate":[89,118],"points":[90,101,119],"from":[91,179,193],"trace":[93],"so":[94],"that":[95],"portion":[97],"between":[98],"consecutive":[100],"is":[102,142],"modeled":[103],"as":[104,152],"an":[105],"Accordingly,":[108],"upon":[110],"stroke":[112,151,163],"complexity,":[114],"selected":[120],"change":[122],"hence":[124],"assigned":[129],"corresponding":[132],"In":[134],"method,":[137,212],"proportional":[143],"complexity":[147],"given":[150],"opposed":[153],"fixed":[155],"case":[157,215],"brute-force.":[159],"recognizer":[164],"consisting":[165],"181":[167],"distinct":[168],"strokes,":[169],"was":[170,187],"trained":[171],"on":[172,189],"set":[174],"52,977":[176],"examples":[177,191],"collected":[178,192],"approximately":[180],"100":[181],"native":[182],"Assamese":[183],"writers.":[184],"evaluation":[186],"done":[188],"43,828":[190],"same":[194],"users":[195],"different":[197],"sessions.":[198],"experimental":[200],"results":[201],"demonstrate":[202],"benefits":[204],"technique":[208],"over":[209],"brute-force":[211],"especially":[213],"complex":[217],"strokes.":[219]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
