{"id":"https://openalex.org/W4388937963","doi":"https://doi.org/10.1109/icccnt56998.2023.10307288","title":"Handwritten Character Recognition using Dynamically Mapped CNN Approach","display_name":"Handwritten Character Recognition using Dynamically Mapped CNN Approach","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388937963","doi":"https://doi.org/10.1109/icccnt56998.2023.10307288"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5051578069","display_name":"N R Sreekumar","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sreekumar N R","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,School of Computing, Mysuru,Department of Computer Science,India","Department of Computer Science, School of Computing, Mysuru, Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,School of Computing, Mysuru,Department of Computer Science,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science, School of Computing, Mysuru, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092597066","display_name":"P Rakshitha","orcid":"https://orcid.org/0009-0001-7548-4981"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rakshitha P","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,School of Computing, Mysuru,Department of Computer Science,India","Department of Computer Science, School of Computing, Mysuru, Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,School of Computing, Mysuru,Department of Computer Science,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science, School of Computing, Mysuru, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021686860","display_name":"S Harshitha","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harshitha S","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,School of Computing, Mysuru,Department of Computer Science,India","Department of Computer Science, School of Computing, Mysuru, Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,School of Computing, Mysuru,Department of Computer Science,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science, School of Computing, Mysuru, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010229047","display_name":"N. Shobha Rani","orcid":"https://orcid.org/0000-0003-4882-1919"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N Shobha Rani","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,School of Computing, Mysuru,Department of Computer Science,India","Department of Computer Science, School of Computing, Mysuru, Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,School of Computing, Mysuru,Department of Computer Science,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science, School of Computing, Mysuru, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051578069"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.369,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61254192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.996999979019165,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.996399998664856,"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/computer-science","display_name":"Computer science","score":0.8768223524093628},{"id":"https://openalex.org/keywords/handwriting","display_name":"Handwriting","score":0.7328187823295593},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7197038531303406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7118995785713196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6890555620193481},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6583237648010254},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.6462504863739014},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5700583457946777},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.49675923585891724},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4913691580295563},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4663718342781067},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4423527717590332},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4402025043964386},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4369061589241028},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4326941967010498}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8768223524093628},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.7328187823295593},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7197038531303406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7118995785713196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6890555620193481},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6583237648010254},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.6462504863739014},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5700583457946777},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.49675923585891724},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4913691580295563},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4663718342781067},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4423527717590332},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4402025043964386},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4369061589241028},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4326941967010498},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2356432940","https://openalex.org/W2421410101","https://openalex.org/W2561506904","https://openalex.org/W2736118019","https://openalex.org/W2789943307","https://openalex.org/W2893960629","https://openalex.org/W2974074339","https://openalex.org/W3003484198","https://openalex.org/W3003496674","https://openalex.org/W3003508901","https://openalex.org/W3011896523","https://openalex.org/W3035903760","https://openalex.org/W3090694718","https://openalex.org/W3093804522","https://openalex.org/W3104526459","https://openalex.org/W3106543890","https://openalex.org/W3171948169","https://openalex.org/W3183597859","https://openalex.org/W3196149871","https://openalex.org/W3216877166"],"related_works":["https://openalex.org/W3003949997","https://openalex.org/W3199359807","https://openalex.org/W2110485610","https://openalex.org/W3047607512","https://openalex.org/W4390983538","https://openalex.org/W2744690920","https://openalex.org/W2107320953","https://openalex.org/W2787081548","https://openalex.org/W183832189","https://openalex.org/W2536878212"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,8,24,32,56,61],"novel":[4],"approach":[5],"to":[6,36,55,71],"developing":[7],"handwriting":[9,151],"recognition":[10,152],"system":[11,153],"by":[12,31,45,105],"leveraging":[13],"deep":[14],"learning":[15],"techniques.":[16],"The":[17,40,100,122,144],"proposed":[18],"method":[19],"involves":[20],"several":[21],"stages.":[22],"Firstly,":[23],"dataset":[25,81],"is":[26,42,103,124,154],"obtained":[27],"from":[28],"Kaggle,":[29],"followed":[30],"thorough":[33],"data-cleaning":[34],"process":[35],"eliminate":[37],"unreadable":[38],"samples.":[39],"data":[41],"then":[43,131],"preprocessed":[44],"converting":[46],"the":[47,50,68,74,80,96,127,134,141,149],"images":[48],"into":[49,85],"grayscale":[51],"format,":[52],"resizing":[53],"them":[54],"width":[57],"of":[58,63,76],"256":[59],"and":[60,65,88,130,156],"height":[62],"64,":[64],"finally":[66],"normalizing":[67],"pixel":[69],"values":[70],"fit":[72],"within":[73],"range":[75],"[0,":[77],"1].":[78],"Subsequently,":[79],"has":[82],"been":[83],"split":[84],"training":[86,128],"sets":[87],"testing":[89,135],"sets.":[90],"with":[91,114],"appropriate":[92],"labels":[93],"prepared":[94],"for":[95,111],"CTC":[97],"loss":[98],"function.":[99],"model":[101,123],"architecture":[102],"constructed":[104],"combining":[106],"convolutional":[107],"neural":[108],"networks":[109],"(CNNs)":[110],"feature":[112],"extraction":[113],"sequence":[115],"layers":[116],"containing":[117],"bidirectional":[118],"LSTM":[119],"(bi-LSTM)":[120],"units.":[121],"trained":[125],"using":[126,133],"set":[129],"evaluated":[132],"set,":[136],"utilizing":[137],"n-gram":[138],"analysis":[139],"as":[140],"evaluation":[142,145],"metric.":[143],"results":[146],"show":[147],"that":[148],"developed":[150],"efficient":[155],"successful.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
