{"id":"https://openalex.org/W4403255672","doi":"https://doi.org/10.24086/cuesj.v8n2y2024.pp99-103","title":"Intelligent Handwritten Identification Using Novel Hybrid Convolutional Neural Networks \u2013 Long-short-term Memory Architecture","display_name":"Intelligent Handwritten Identification Using Novel Hybrid Convolutional Neural Networks \u2013 Long-short-term Memory Architecture","publication_year":2024,"publication_date":"2024-10-01","ids":{"openalex":"https://openalex.org/W4403255672","doi":"https://doi.org/10.24086/cuesj.v8n2y2024.pp99-103"},"language":"en","primary_location":{"id":"doi:10.24086/cuesj.v8n2y2024.pp99-103","doi":"https://doi.org/10.24086/cuesj.v8n2y2024.pp99-103","is_oa":true,"landing_page_url":"https://doi.org/10.24086/cuesj.v8n2y2024.pp99-103","pdf_url":null,"source":{"id":"https://openalex.org/S4210176019","display_name":"Cihan University-Erbil Scientific Journal","issn_l":"2519-6979","issn":["2519-6979","2707-6377"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I1294182474","host_organization_name":"Cihan University-Erbil","host_organization_lineage":["https://openalex.org/I1294182474"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cihan University-Erbil Scientific Journal","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.24086/cuesj.v8n2y2024.pp99-103","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069434995","display_name":"Fatimatelbatoul Mahmoud Husari","orcid":"https://orcid.org/0000-0001-6553-8440","observed_orcids":["https://orcid.org/0000-0001-6553-8440"]},"institutions":[{"id":"https://openalex.org/I1294182474","display_name":"Cihan University-Erbil","ror":"https://ror.org/03hevjm30","country_code":"IQ","type":"education","lineage":["https://openalex.org/I1294182474"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Fatimatelbatoul M. Husari","raw_affiliation_strings":["Department of Informatics and Software Engineering, Faculty of Engineering, Cihan University-Erbil, Kurdistan Region, Iraq"],"raw_orcid":"https://orcid.org/0000-0001-6553-8440","affiliations":[{"raw_affiliation_string":"Department of Informatics and Software Engineering, Faculty of Engineering, Cihan University-Erbil, Kurdistan Region, Iraq","institution_ids":["https://openalex.org/I1294182474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021033184","display_name":"Mohammad Anwar Assaad","orcid":"https://orcid.org/0000-0002-6697-0275","observed_orcids":["https://orcid.org/0000-0002-6697-0275"]},"institutions":[{"id":"https://openalex.org/I1294182474","display_name":"Cihan University-Erbil","ror":"https://ror.org/03hevjm30","country_code":"IQ","type":"education","lineage":["https://openalex.org/I1294182474"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Mohammad A. Assaad","raw_affiliation_strings":["Department of Informatics and Software Engineering, College of Engineering, Cihan University,-Erbil, Kurdistan Region, Iraq"],"raw_orcid":"https://orcid.org/0000-0002-6697-0275","affiliations":[{"raw_affiliation_string":"Department of Informatics and Software Engineering, College of Engineering, Cihan University,-Erbil, Kurdistan Region, Iraq","institution_ids":["https://openalex.org/I1294182474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1294182474"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12253938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"2","first_page":"99","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"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":9.999999747378752e-05,"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/handwritten-character-recognition","display_name":"handwritten character recognition","score":0.9610000252723694},{"id":"https://openalex.org/keywords/hybrid-cnn-lstm-model","display_name":"CNN-LSTM hybrid model","score":0.8389999866485596},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.8560000061988831},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9539999961853027},{"id":"https://openalex.org/keywords/mnist","display_name":"MNIST","score":0.6949999928474426},{"id":"https://openalex.org/keywords/document-analysis","display_name":"document analysis","score":0.5960000157356262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8557013273239136},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7763785123825073},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7546924352645874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7169600129127502},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.6342942714691162},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5746749639511108},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5443512797355652},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.4999363422393799},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4603443443775177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.460319459438324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38275206089019775},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3334226608276367},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3167456090450287},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24086/cuesj.v8n2y2024.pp99-103","doi":"https://doi.org/10.24086/cuesj.v8n2y2024.pp99-103","is_oa":true,"landing_page_url":"https://doi.org/10.24086/cuesj.v8n2y2024.pp99-103","pdf_url":null,"source":{"id":"https://openalex.org/S4210176019","display_name":"Cihan University-Erbil Scientific Journal","issn_l":"2519-6979","issn":["2519-6979","2707-6377"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I1294182474","host_organization_name":"Cihan University-Erbil","host_organization_lineage":["https://openalex.org/I1294182474"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cihan University-Erbil Scientific Journal","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.24086/cuesj.v8n2y2024.pp99-103","doi":"https://doi.org/10.24086/cuesj.v8n2y2024.pp99-103","is_oa":true,"landing_page_url":"https://doi.org/10.24086/cuesj.v8n2y2024.pp99-103","pdf_url":null,"source":{"id":"https://openalex.org/S4210176019","display_name":"Cihan University-Erbil Scientific Journal","issn_l":"2519-6979","issn":["2519-6979","2707-6377"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I1294182474","host_organization_name":"Cihan University-Erbil","host_organization_lineage":["https://openalex.org/I1294182474"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cihan University-Erbil Scientific Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3036048022","https://openalex.org/W4309224979","https://openalex.org/W3026879719","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"],"abstract_inverted_index":{"Handwritten":[0],"character":[1],"identification":[2,34],"finds":[3],"broad":[4],"applications":[5],"in":[6,18,88,92],"document":[7],"analysis,":[8],"digital":[9],"forensics,":[10],"and":[11,26,40,60,84,120,136],"human-computer":[12],"interaction.":[13],"Conventional":[14],"methods":[15],"encounter":[16],"challenges":[17],"accurately":[19],"deciphering":[20],"a":[21,66],"range":[22],"of":[23,55,72,127],"handwriting":[24,33],"styles":[25],"variations.":[27],"Consequently,":[28],"investigating":[29],"intelligent":[30,116],"system":[31],"for":[32],"becomes":[35],"crucial":[36],"to":[37,78,114],"enhance":[38],"accuracy":[39],"efficiency.":[41],"This":[42],"paper":[43],"introduces":[44],"an":[45],"innovative":[46],"hybrid":[47,108,129],"deep":[48],"learning":[49,118],"architecture,":[50],"seamlessly":[51],"integrating":[52],"the":[53,76,121,124,128],"strengths":[54],"convolutional":[56],"neural":[57],"networks":[58],"(CNN)":[59],"long-short":[61],"term":[62],"memory":[63],"(LSTM)":[64],"within":[65],"one":[67],"single":[68],"framework.":[69],"The":[70,96,106],"combination":[71],"these":[73],"structures":[74],"enables":[75],"model":[77],"effectively":[79],"capture":[80],"both":[81],"spatial":[82],"features":[83],"temporal":[85],"dependencies":[86],"inherent":[87],"handwritten":[89],"strokes,":[90],"resulting":[91],"improved":[93],"recognition":[94],"performance.":[95],"proposed":[97,107],"2DCNN-LSTM":[98],"algorithm":[99],"has":[100,111],"been":[101,112],"tested":[102],"on":[103],"MNIST":[104],"dataset.":[105],"CNN-LSTM":[109],"structure":[110],"compared":[113],"conventional":[115],"machine":[117],"methods,":[119],"results":[122],"demonstrate":[123],"superior":[125],"performance":[126],"CNN-LSTM,":[130],"showcasing":[131],"heightened":[132],"accuracy,":[133],"sensitivity,":[134],"specificity,":[135],"other":[137],"evaluation":[138],"metrics.":[139]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}