{"id":"https://openalex.org/W2555500570","doi":"https://doi.org/10.1109/ijcnn.2016.7727613","title":"Offline Arabic Handwritten recognition system with dropout applied in Deep networks based-SVMs","display_name":"Offline Arabic Handwritten recognition system with dropout applied in Deep networks based-SVMs","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2555500570","doi":"https://doi.org/10.1109/ijcnn.2016.7727613","mag":"2555500570"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5052764348","display_name":"Mohamed Elleuch","orcid":"https://orcid.org/0000-0003-4702-7692"},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Mohamed Elleuch","raw_affiliation_strings":["National School of Computer Science (ENSI), University of Manouba, Manouba, Tunisia"],"affiliations":[{"raw_affiliation_string":"National School of Computer Science (ENSI), University of Manouba, Manouba, Tunisia","institution_ids":["https://openalex.org/I83259278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059604025","display_name":"Raouia Mokni","orcid":"https://orcid.org/0000-0002-6652-5251"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Raouia Mokni","raw_affiliation_strings":["Faculty of Economics and Management of Sfax, University of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"Faculty of Economics and Management of Sfax, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004803772","display_name":"Monji Kherallah","orcid":"https://orcid.org/0000-0002-4549-1005"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Monji Kherallah","raw_affiliation_strings":["Faculty of Sciences, University of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052764348"],"corresponding_institution_ids":["https://openalex.org/I83259278"],"apc_list":null,"apc_paid":null,"fwci":1.336,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87211976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3241","last_page":"3248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9957000017166138,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9916999936103821,"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/dropout","display_name":"Dropout (neural networks)","score":0.8384926319122314},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.8130131959915161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7477753162384033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7272600531578064},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7013915777206421},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5127485990524292},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43347084522247314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26319456100463867}],"concepts":[{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.8384926319122314},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.8130131959915161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477753162384033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7272600531578064},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7013915777206421},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5127485990524292},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43347084522247314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26319456100463867},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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:10.1109/ijcnn.2016.7727613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1510073064","https://openalex.org/W1512234699","https://openalex.org/W1514415280","https://openalex.org/W1546411676","https://openalex.org/W1575243176","https://openalex.org/W1790216112","https://openalex.org/W1881452810","https://openalex.org/W1904365287","https://openalex.org/W1909122952","https://openalex.org/W1936827159","https://openalex.org/W1971014294","https://openalex.org/W1987281309","https://openalex.org/W1993882792","https://openalex.org/W2015591846","https://openalex.org/W2033154814","https://openalex.org/W2047743262","https://openalex.org/W2095705004","https://openalex.org/W2097356275","https://openalex.org/W2100495367","https://openalex.org/W2103359087","https://openalex.org/W2107331737","https://openalex.org/W2112796928","https://openalex.org/W2114416783","https://openalex.org/W2130325614","https://openalex.org/W2136922672","https://openalex.org/W2139212933","https://openalex.org/W2143865185","https://openalex.org/W2147800946","https://openalex.org/W2149684865","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2154942898","https://openalex.org/W2156163116","https://openalex.org/W2164294799","https://openalex.org/W2241794575","https://openalex.org/W2285099633","https://openalex.org/W2293167034","https://openalex.org/W2407519794","https://openalex.org/W2439773847","https://openalex.org/W2471397812","https://openalex.org/W2964325005","https://openalex.org/W3119651796","https://openalex.org/W4239510810","https://openalex.org/W6630737061","https://openalex.org/W6632670727","https://openalex.org/W6633616865","https://openalex.org/W6634415729","https://openalex.org/W6638277394","https://openalex.org/W6639355794","https://openalex.org/W6640036494","https://openalex.org/W6640501547","https://openalex.org/W6647172311","https://openalex.org/W6674330103","https://openalex.org/W6675321185","https://openalex.org/W6676912874","https://openalex.org/W6720307979"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W1521968289","https://openalex.org/W2782041652","https://openalex.org/W2952088488","https://openalex.org/W2612657834","https://openalex.org/W2392157706","https://openalex.org/W2599192953","https://openalex.org/W2481230473","https://openalex.org/W2792147139","https://openalex.org/W2514220927"],"abstract_inverted_index":{"As":[0],"a":[1,37,52,59,112],"machine":[2],"learning":[3,6,61],"algorithms,":[4],"deep":[5,53,60,107],"algorithms":[7,32],"developed":[8],"in":[9,16,51],"recent":[10],"years,":[11],"have":[12],"been":[13],"successfully":[14],"practiced":[15],"many":[17],"fields":[18],"of":[19,41,114,166,169,176],"computer":[20],"vision,":[21],"like":[22],"face":[23],"recognition,":[24],"object":[25],"detection":[26],"and":[27,47,125,132],"image":[28,46],"classification.":[29],"These":[30],"Deep":[31,70,82],"look":[33],"for":[34,147],"drawing":[35],"out":[36],"very":[38],"performing":[39],"representation":[40],"the":[42,77,81,122,134,174,177],"data,":[43],"among":[44],"which":[45],"speech,":[48],"through":[49],"multi-layers":[50],"hierarchical":[54],"structure.":[55],"In":[56],"this":[57,90],"study,":[58],"model":[62,91,160],"based":[63],"on":[64,80,149],"Support":[65,136],"Vector":[66,137],"Machine":[67,138],"(SVM)":[68],"named":[69],"SVM":[71,83,108],"(DSVM)":[72],"is":[73,86,109,161],"represented.":[74],"We":[75,130],"applied":[76],"dropout":[78],"technique":[79],"(DSVM).":[84],"It":[85],"worth":[87],"noting":[88],"that":[89],"has":[92],"an":[93,140],"inherent":[94],"capacity":[95],"to":[96,101,117,126,156],"choose":[97],"data":[98],"points":[99],"crucial":[100],"classify":[102],"good":[103],"generalization":[104],"capacities.":[105],"The":[106],"built":[110],"by":[111],"stack":[113],"SVMs":[115],"permitting":[116],"extracting/learning":[118],"automatically":[119],"features":[120,146],"from":[121],"raw":[123],"images":[124],"realize":[127],"classification,":[128,148],"too.":[129],"chose":[131],"tested":[133],"Multi-class":[135],"with":[139],"RBF":[141],"kernel,":[142],"as":[143],"non-linear":[144],"discriminative":[145],"Handwritten":[150],"Arabic":[151],"Characters":[152],"Database":[153],"(HACDB).":[154],"Further":[155],"these":[157],"advantages,":[158],"our":[159],"safeguarded":[162],"against":[163],"over-fitting":[164],"because":[165],"strong":[167],"performance":[168],"dropout.":[170],"Simulation":[171],"outcomes":[172],"prove":[173],"efficiency":[175],"suggested":[178],"model.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}