{"id":"https://openalex.org/W4391960563","doi":"https://doi.org/10.1007/s10032-024-00460-3","title":"On the improvement of handwritten text line recognition with octave convolutional recurrent neural networks","display_name":"On the improvement of handwritten text line recognition with octave convolutional recurrent neural networks","publication_year":2024,"publication_date":"2024-02-20","ids":{"openalex":"https://openalex.org/W4391960563","doi":"https://doi.org/10.1007/s10032-024-00460-3"},"language":"en","primary_location":{"id":"doi:10.1007/s10032-024-00460-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10032-024-00460-3","pdf_url":null,"source":{"id":"https://openalex.org/S90108747","display_name":"International Journal on Document Analysis and Recognition (IJDAR)","issn_l":"1433-2825","issn":["1433-2825","1433-2833"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Document Analysis and Recognition (IJDAR)","raw_type":"journal-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/A5045903801","display_name":"Dayvid Castro","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Dayvid Castro","raw_affiliation_strings":["Centro de Inform\u00e1tica, Federal University of Pernambuco, Recife, Pernambuco, 50740-560, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Federal University of Pernambuco, Recife, Pernambuco, 50740-560, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086345001","display_name":"Cleber Zanchettin","orcid":"https://orcid.org/0000-0001-6421-9747"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR","US"],"is_corresponding":true,"raw_author_name":"Cleber Zanchettin","raw_affiliation_strings":["Centro de Inform\u00e1tica, Federal University of Pernambuco, Recife, Pernambuco, 50740-560, Brazil","Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois, 60208, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Federal University of Pernambuco, Recife, Pernambuco, 50740-560, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois, 60208, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073544378","display_name":"Lu\u0131\u0301s A. Nunes Amaral","orcid":"https://orcid.org/0000-0002-3762-789X"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu\u00eds A. Nunes Amaral","raw_affiliation_strings":["Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois, 60208, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois, 60208, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086345001"],"corresponding_institution_ids":["https://openalex.org/I111979921","https://openalex.org/I25112270"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.6571,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63408438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"27","issue":"4","first_page":"567","last_page":"581"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9891999959945679,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9886999726295471,"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":0.82834392786026},{"id":"https://openalex.org/keywords/octave","display_name":"Octave (electronics)","score":0.6961084604263306},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6737736463546753},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6705297231674194},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6164725422859192},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.5370200276374817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5304982662200928},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.49985384941101074},{"id":"https://openalex.org/keywords/word-recognition","display_name":"Word recognition","score":0.49065032601356506},{"id":"https://openalex.org/keywords/intelligent-character-recognition","display_name":"Intelligent character recognition","score":0.4861185550689697},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46383723616600037},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4609648883342743},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46096086502075195},{"id":"https://openalex.org/keywords/intelligent-word-recognition","display_name":"Intelligent word recognition","score":0.4600747227668762},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45714643597602844},{"id":"https://openalex.org/keywords/handwriting","display_name":"Handwriting","score":0.4551153779029846},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43913328647613525},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.431837797164917},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3964790999889374},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3894945979118347},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.2122417688369751},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07654568552970886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82834392786026},{"id":"https://openalex.org/C85841341","wikidata":"https://www.wikidata.org/wiki/Q1135984","display_name":"Octave (electronics)","level":2,"score":0.6961084604263306},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6737736463546753},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6705297231674194},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6164725422859192},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.5370200276374817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5304982662200928},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.49985384941101074},{"id":"https://openalex.org/C150856459","wikidata":"https://www.wikidata.org/wiki/Q8034367","display_name":"Word recognition","level":3,"score":0.49065032601356506},{"id":"https://openalex.org/C44868376","wikidata":"https://www.wikidata.org/wiki/Q3099089","display_name":"Intelligent character recognition","level":4,"score":0.4861185550689697},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46383723616600037},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4609648883342743},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46096086502075195},{"id":"https://openalex.org/C17649283","wikidata":"https://www.wikidata.org/wiki/Q6044162","display_name":"Intelligent word recognition","level":5,"score":0.4600747227668762},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45714643597602844},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.4551153779029846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43913328647613525},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.431837797164917},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3964790999889374},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3894945979118347},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.2122417688369751},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07654568552970886},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10032-024-00460-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10032-024-00460-3","pdf_url":null,"source":{"id":"https://openalex.org/S90108747","display_name":"International Journal on Document Analysis and Recognition (IJDAR)","issn_l":"1433-2825","issn":["1433-2825","1433-2833"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Document Analysis and Recognition (IJDAR)","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1631260214","https://openalex.org/W1647671624","https://openalex.org/W1982309299","https://openalex.org/W1991133427","https://openalex.org/W2004220942","https://openalex.org/W2018970719","https://openalex.org/W2021043164","https://openalex.org/W2027973367","https://openalex.org/W2064675550","https://openalex.org/W2084859622","https://openalex.org/W2103667008","https://openalex.org/W2112796928","https://openalex.org/W2114572161","https://openalex.org/W2120458927","https://openalex.org/W2122585011","https://openalex.org/W2126728600","https://openalex.org/W2127141656","https://openalex.org/W2128060444","https://openalex.org/W2133552271","https://openalex.org/W2147393756","https://openalex.org/W2152928267","https://openalex.org/W2155197031","https://openalex.org/W2158195707","https://openalex.org/W2573601984","https://openalex.org/W2577122925","https://openalex.org/W2785820430","https://openalex.org/W2785979806","https://openalex.org/W2786974559","https://openalex.org/W2795753477","https://openalex.org/W2895359355","https://openalex.org/W2904365532","https://openalex.org/W2904714269","https://openalex.org/W2946759265","https://openalex.org/W2946921758","https://openalex.org/W2952026396","https://openalex.org/W2962707697","https://openalex.org/W2963868896","https://openalex.org/W2964325005","https://openalex.org/W2984329012","https://openalex.org/W2988396473","https://openalex.org/W2999778248","https://openalex.org/W3003428515","https://openalex.org/W3003915459","https://openalex.org/W3021686397","https://openalex.org/W3031548983","https://openalex.org/W3034726763","https://openalex.org/W3038203375","https://openalex.org/W3086834600","https://openalex.org/W3109563519","https://openalex.org/W3110453829","https://openalex.org/W3112478873","https://openalex.org/W3134182987","https://openalex.org/W3153030012","https://openalex.org/W3163192001","https://openalex.org/W3175823478","https://openalex.org/W3196329608","https://openalex.org/W3201139606","https://openalex.org/W3207037366","https://openalex.org/W3211740435","https://openalex.org/W4229453476","https://openalex.org/W4255234640","https://openalex.org/W4283276297","https://openalex.org/W4285213101","https://openalex.org/W4315884068","https://openalex.org/W6631362777","https://openalex.org/W6756040250","https://openalex.org/W6813345622","https://openalex.org/W6958965676"],"related_works":["https://openalex.org/W4309724674","https://openalex.org/W2891374022","https://openalex.org/W4383503016","https://openalex.org/W4379619998","https://openalex.org/W2584088274","https://openalex.org/W4206266975","https://openalex.org/W2131831414","https://openalex.org/W4398756423","https://openalex.org/W2682989974","https://openalex.org/W2095300807"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}