{"id":"https://openalex.org/W2027852482","doi":"https://doi.org/10.1109/icacci.2013.6637153","title":"Design and analysis of LRTB feature based classifier applied to handwritten Devnagari characters: A neural network approach","display_name":"Design and analysis of LRTB feature based classifier applied to handwritten Devnagari characters: A neural network approach","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2027852482","doi":"https://doi.org/10.1109/icacci.2013.6637153","mag":"2027852482"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2013.6637153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5019403744","display_name":"Dinesh V. Rojatkar","orcid":"https://orcid.org/0000-0003-4441-526X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dinesh V. Rojatkar","raw_affiliation_strings":["Department of Electronics, Government College of Engineering, Chandrapur, India","Dept. of Electron., Gov. Coll. of Eng., Chandrapur, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics, Government College of Engineering, Chandrapur, India","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electron., Gov. Coll. of Eng., Chandrapur, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054536414","display_name":"Krushna D. Chinchkhede","orcid":"https://orcid.org/0000-0003-0394-3859"},"institutions":[{"id":"https://openalex.org/I150513749","display_name":"Sant Gadge Baba Amravati University","ror":"https://ror.org/05s8p6g93","country_code":"IN","type":"education","lineage":["https://openalex.org/I150513749"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krushna D. Chinchkhede","raw_affiliation_strings":["Department of Applied Electronics, SGB Amravati University, Amravati, India","Dept. of Appl. Electron., SGB Amravati Univ., Amravati, India"],"affiliations":[{"raw_affiliation_string":"Department of Applied Electronics, SGB Amravati University, Amravati, India","institution_ids":["https://openalex.org/I150513749"]},{"raw_affiliation_string":"Dept. of Appl. Electron., SGB Amravati Univ., Amravati, India","institution_ids":["https://openalex.org/I150513749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018588473","display_name":"G. G. Sarate","orcid":null},"institutions":[{"id":"https://openalex.org/I150513749","display_name":"Sant Gadge Baba Amravati University","ror":"https://ror.org/05s8p6g93","country_code":"IN","type":"education","lineage":["https://openalex.org/I150513749"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. G. Sarate","raw_affiliation_strings":["Department of Electronics, Government Polytechnic, Amravati, India","Dept. of Electron., Gov. Polytech., Amravati, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics, Government Polytechnic, Amravati, India","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electron., Gov. Polytech., Amravati, India","institution_ids":["https://openalex.org/I150513749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019403744"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.09973568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"101"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7298386096954346},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7112094163894653},{"id":"https://openalex.org/keywords/devanagari","display_name":"Devanagari","score":0.6977123022079468},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.6898481845855713},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6055375337600708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.59535813331604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.563841700553894},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5099796056747437},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5010454654693604},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4955631494522095},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4299902617931366},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.4224923253059387},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41065287590026855},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.1432725489139557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298386096954346},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7112094163894653},{"id":"https://openalex.org/C2780144916","wikidata":"https://www.wikidata.org/wiki/Q38592","display_name":"Devanagari","level":4,"score":0.6977123022079468},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.6898481845855713},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6055375337600708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.59535813331604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.563841700553894},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5099796056747437},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5010454654693604},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4955631494522095},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4299902617931366},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.4224923253059387},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41065287590026855},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.1432725489139557},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2013.6637153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1565542963","https://openalex.org/W2002011878","https://openalex.org/W2051812123","https://openalex.org/W2069477413","https://openalex.org/W2084781027","https://openalex.org/W2108878368","https://openalex.org/W2118924867","https://openalex.org/W2126017095","https://openalex.org/W2133464112","https://openalex.org/W2137983211","https://openalex.org/W2139700572","https://openalex.org/W2152127545","https://openalex.org/W2952068244","https://openalex.org/W3145839214","https://openalex.org/W3146803896","https://openalex.org/W6676020877"],"related_works":["https://openalex.org/W2244980784","https://openalex.org/W4360905860","https://openalex.org/W2167945225","https://openalex.org/W4366202965","https://openalex.org/W2349679704","https://openalex.org/W1969293528","https://openalex.org/W2570625548","https://openalex.org/W3154844368","https://openalex.org/W4311613356","https://openalex.org/W4236800443"],"abstract_inverted_index":{"This":[0],"research":[1],"work":[2],"investigates":[3],"design":[4],"and":[5,114,121],"robustness":[6],"analysis":[7],"of":[8,51,63,97,129,137],"an":[9],"optimal":[10],"classifier":[11],"applied":[12],"to":[13,27,47,74],"handwritten":[14],"Devanagari":[15],"consonant":[16],"characters":[17],"using":[18],"single":[19],"hidden":[20,43],"layer":[21,44],"feed-forward":[22],"neural":[23,33,57],"network":[24,34,81],"with":[25,87],"respect":[26],"five":[28,66],"fold":[29,55,85],"cross":[30],"validation.":[31],"Proposed":[32],"is":[35,82,117],"trained":[36],"3":[37],"times":[38],"by":[39],"varying":[40],"PEs":[41],"in":[42,49],"from":[45],"64":[46],"128":[48],"steps":[50],"16.":[52],"For":[53],"each":[54],"fifteen":[56],"networks":[58],"are":[59],"studied.":[60],"Meticulous":[61],"experimentation":[62],"around":[64],"seventy":[65],"MLPs":[67],"shows":[68],"the":[69,101,125],"overall":[70],"classification":[71,108],"accuracy":[72,109],"near":[73],"97%":[75],"for":[76,104],"all":[77],"classes.":[78,106],"The":[79],"best":[80],"found":[83],"at":[84,90],"5":[86],"80":[88],"neurons":[89],"trial":[91],"3.":[92],"Networks":[93],"analyzed":[94],"on":[95,110,124],"account":[96],"confusion":[98],"matrix,":[99],"reveals":[100],"greater":[102],"details":[103],"individual":[105],"Average":[107],"training,":[111],"validation,":[112],"test":[113],"combined":[115],"dataset":[116,127],"99.40%,":[118],"97.38%,":[119],"97.05%":[120],"98.98%":[122],"respectively":[123],"total":[126],"size":[128],"8224":[130],"samples":[131],"distributed":[132],"uniformly":[133],"within":[134],"32":[135],"classes":[136],"typical":[138],"Devnagari":[139],"consonants.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
