{"id":"https://openalex.org/W4406524748","doi":"https://doi.org/10.1109/fit63703.2024.10838413","title":"Handwritten Hindko Text Recognition Using Deep Neural Network","display_name":"Handwritten Hindko Text Recognition Using Deep Neural Network","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4406524748","doi":"https://doi.org/10.1109/fit63703.2024.10838413"},"language":"en","primary_location":{"id":"doi:10.1109/fit63703.2024.10838413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fit63703.2024.10838413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Frontiers of Information Technology (FIT)","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/A5100758413","display_name":"Tanveer Ahmed","orcid":"https://orcid.org/0000-0002-8729-5707"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tanveer Ahmed","raw_affiliation_strings":["School of Computing Sciences, Pak-Austria Fachhochschule,Haripur,Pakistan"],"affiliations":[{"raw_affiliation_string":"School of Computing Sciences, Pak-Austria Fachhochschule,Haripur,Pakistan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050157488","display_name":"Sohail Khan","orcid":"https://orcid.org/0000-0001-9286-5236"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sohail Khan","raw_affiliation_strings":["Pak-Austria Fachhochschule,Sino-Pak Centre for Artificial Intelligence,Haripur,Pakistan"],"affiliations":[{"raw_affiliation_string":"Pak-Austria Fachhochschule,Sino-Pak Centre for Artificial Intelligence,Haripur,Pakistan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023881021","display_name":"Khalil Khan","orcid":"https://orcid.org/0000-0002-0864-5255"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Khalil Khan","raw_affiliation_strings":["Nazarbayev University,Department of Computer Science,Kazakhstan"],"affiliations":[{"raw_affiliation_string":"Nazarbayev University,Department of Computer Science,Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100758413"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26962151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9930999875068665,"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":0.9908999800682068,"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":0.7717939615249634},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5841613411903381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5807115435600281},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4644010365009308},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42200398445129395},{"id":"https://openalex.org/keywords/text-recognition","display_name":"Text recognition","score":0.4150252640247345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4083256125450134},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06225019693374634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7717939615249634},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5841613411903381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5807115435600281},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4644010365009308},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42200398445129395},{"id":"https://openalex.org/C2983812711","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text recognition","level":3,"score":0.4150252640247345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4083256125450134},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06225019693374634}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fit63703.2024.10838413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fit63703.2024.10838413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Frontiers of Information Technology (FIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2001492495","https://openalex.org/W2183338054","https://openalex.org/W2785979806","https://openalex.org/W2962961857","https://openalex.org/W3015693668","https://openalex.org/W3027964958","https://openalex.org/W3033331029","https://openalex.org/W3038203375","https://openalex.org/W3081745724","https://openalex.org/W3128861200","https://openalex.org/W3172971238","https://openalex.org/W4285167662","https://openalex.org/W4285347395","https://openalex.org/W4320007027","https://openalex.org/W4388411550","https://openalex.org/W4396544459","https://openalex.org/W4400007657","https://openalex.org/W4400811078","https://openalex.org/W4405212296","https://openalex.org/W6686354759","https://openalex.org/W6906644372"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W1982750869","https://openalex.org/W2085756966","https://openalex.org/W2350679292","https://openalex.org/W2086348228","https://openalex.org/W4390653028"],"abstract_inverted_index":{"Handwritten":[0,27],"text":[1,28,49],"recognition":[2,153,157],"is":[3],"a":[4,22,77],"challenging":[5],"task":[6],"with":[7,185],"significant":[8],"implications":[9],"for":[10,25,103],"cultural":[11,182],"preservation":[12],"and":[13,41,50,63,68,88,99,112,124,131,139,159,179],"technological":[14],"advancement.":[15],"In":[16],"this":[17,146,186],"research":[18,115,147],"paper,":[19],"we":[20,75],"propose":[21],"unique":[23],"approach":[24],"Hindko":[26,47,82,176],"recognition.":[29],"The":[30,120,142],"primary":[31],"objectives":[32],"of":[33,45,55,80,127,137,145],"the":[34,53,96,105,114,164,181],"study":[35],"were":[36,92],"to":[37,51,94,174],"develop":[38],"an":[39,135],"accurate":[40],"efficient":[42],"system":[43],"capable":[44],"recognizing":[46],"handwritten":[48,81],"compare":[52],"performance":[54],"deep":[56,106],"learning":[57,172],"models,":[58],"Convolutional":[59],"Neural":[60,65],"Networks":[61,66],"(CNN)":[62],"Recurrent":[64],"(RNN)":[67],"HTR-Attention":[69,121],"model.":[70],"To":[71],"achieve":[72],"these":[73],"objectives,":[74],"collected":[76],"substantial":[78],"dataset":[79],"text,":[83],"comprising":[84],"diverse":[85],"writing":[86],"styles":[87],"variations.":[89],"Processing":[90],"techniques":[91],"applied":[93],"enhance":[95],"data":[97],"quality":[98],"extract":[100],"meaningful":[101],"features":[102],"training":[104],"neural":[107],"networks.":[108],"Through":[109],"rigorous":[110],"experimentation":[111],"evaluation,":[113],"findings":[116],"demonstrated":[117],"promising":[118],"results.":[119],"model":[122,166],"achieved":[123],"impressive":[125],"accuracy":[126,136],"88.97%.":[128],"while":[129],"CNN":[130],"RNN":[132],"models":[133],"attained":[134],"88.36%":[138],"80.45%":[140],"respectively.":[141],"potential":[143],"applications":[144],"encompass":[148],"various":[149],"fields,":[150],"including":[151],"language":[152,160,177],"systems,":[154,158],"optical":[155],"character":[156],"translation":[161],"technologies.":[162],"Furthermore,":[163],"developed":[165],"can":[167],"be":[168],"integrated":[169],"into":[170],"digital":[171],"platforms":[173],"facilitate":[175],"learners":[178],"preserve":[180],"heritage":[183],"associated":[184],"regional":[187],"Language.":[188]},"counts_by_year":[],"updated_date":"2026-02-20T08:17:22.645390","created_date":"2025-10-10T00:00:00"}
