{"id":"https://openalex.org/W2809699757","doi":"https://doi.org/10.1109/rait.2018.8389032","title":"Finding the optimum classifier: Classification of segmentable components in offline handwritten Devanagari words","display_name":"Finding the optimum classifier: Classification of segmentable components in offline handwritten Devanagari words","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2809699757","doi":"https://doi.org/10.1109/rait.2018.8389032","mag":"2809699757"},"language":"en","primary_location":{"id":"doi:10.1109/rait.2018.8389032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2018.8389032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","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/A5082451104","display_name":"Rahul Pramanik","orcid":"https://orcid.org/0000-0002-1410-9950"},"institutions":[{"id":"https://openalex.org/I189109744","display_name":"Indian Institute of Technology Dhanbad","ror":"https://ror.org/013v3cc28","country_code":"IN","type":"education","lineage":["https://openalex.org/I189109744"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rahul Pramanik","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad, India","institution_ids":["https://openalex.org/I189109744"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112591139","display_name":"Vivek Raj","orcid":null},"institutions":[{"id":"https://openalex.org/I189109744","display_name":"Indian Institute of Technology Dhanbad","ror":"https://ror.org/013v3cc28","country_code":"IN","type":"education","lineage":["https://openalex.org/I189109744"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vivek Raj","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad, India","institution_ids":["https://openalex.org/I189109744"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043633373","display_name":"Soumen Bag","orcid":"https://orcid.org/0000-0002-4257-8076"},"institutions":[{"id":"https://openalex.org/I189109744","display_name":"Indian Institute of Technology Dhanbad","ror":"https://ror.org/013v3cc28","country_code":"IN","type":"education","lineage":["https://openalex.org/I189109744"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumen Bag","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad, India","institution_ids":["https://openalex.org/I189109744"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082451104"],"corresponding_institution_ids":["https://openalex.org/I189109744"],"apc_list":null,"apc_paid":null,"fwci":0.5223,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70413121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"1 and 2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/devanagari","display_name":"Devanagari","score":0.9248006343841553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7757035493850708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7683503031730652},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7210600972175598},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7132371664047241},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5751798152923584},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5683012008666992},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4619368314743042},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.45119497179985046},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.356166273355484},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2336462438106537},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.19587305188179016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1327471137046814}],"concepts":[{"id":"https://openalex.org/C2780144916","wikidata":"https://www.wikidata.org/wiki/Q38592","display_name":"Devanagari","level":4,"score":0.9248006343841553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757035493850708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7683503031730652},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7210600972175598},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7132371664047241},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5751798152923584},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5683012008666992},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4619368314743042},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.45119497179985046},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.356166273355484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2336462438106537},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.19587305188179016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1327471137046814},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rait.2018.8389032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2018.8389032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"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":15,"referenced_works":["https://openalex.org/W1622620102","https://openalex.org/W1668690069","https://openalex.org/W2001635689","https://openalex.org/W2064096728","https://openalex.org/W2082204984","https://openalex.org/W2115260443","https://openalex.org/W2133059825","https://openalex.org/W2139212933","https://openalex.org/W2140677964","https://openalex.org/W2295305599","https://openalex.org/W2404711465","https://openalex.org/W2573602273","https://openalex.org/W2766470371","https://openalex.org/W2768950517","https://openalex.org/W6680754343"],"related_works":["https://openalex.org/W2244980784","https://openalex.org/W4360905860","https://openalex.org/W2167945225","https://openalex.org/W2819040622","https://openalex.org/W2981685982","https://openalex.org/W2064441507","https://openalex.org/W2250054171","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Majority":[0],"of":[1,20,37,62,77,94,100,116,146,153,164],"the":[2,13,21,50,59,63,75,107,122,151,162],"approaches":[3],"towards":[4],"handwritten":[5,24],"Devanagari":[6],"character":[7],"segmentation":[8,55,64,111],"are":[9,40,90,102,119,126],"mostly":[10],"applied":[11],"on":[12],"word":[14,25,39,51,82],"image":[15],"as":[16],"a":[17,23,38,81,98],"whole.":[18],"Most":[19],"times,":[22],"contains":[26],"some":[27],"parts":[28,36],"that":[29,73],"need":[30],"not":[31],"require":[32],"segmentation.":[33],"If":[34],"such":[35,136],"pre-identified":[41],"before":[42,52],"segmentation,":[43],"then":[44],"these":[45,95,117],"can":[46],"be":[47],"separated":[48],"from":[49,92],"applying":[53],"any":[54],"algorithm":[56],"to":[57,104,128,142,160],"reduce":[58],"entire":[60],"overhead":[61],"methodology.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69],"propose":[70],"an":[71,144],"approach":[72],"finds":[74],"number":[76],"components":[78],"present":[79],"in":[80],"image.":[83],"Cumulative":[84],"stretch":[85],"and":[86,121],"shadow":[87],"based":[88],"features":[89],"extracted":[91],"each":[93],"components.":[96],"Then":[97],"range":[99],"classifiers":[101,118],"used":[103],"see":[105,129],"if":[106],"component":[108],"requires":[109],"further":[110],"or":[112],"not.":[113],"The":[114],"parameters":[115],"tuned":[120],"results,":[123],"thus":[124],"obtained":[125],"compared":[127,150],"which":[130],"classifier":[131],"is":[132,140],"best":[133],"suited":[134],"for":[135],"classification.":[137],"This":[138],"method":[139,156],"observed":[141],"provide":[143],"accuracy":[145,152],"98.63%.":[147],"We":[148],"have":[149],"our":[154,165],"proposed":[155,166],"with":[157],"recent":[158],"works":[159],"show":[161],"efficacy":[163],"method.":[167]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}