{"id":"https://openalex.org/W2752533414","doi":"https://doi.org/10.1145/3121360.3121376","title":"Similar Handwritten Chinese Character Recognition Based on CNN-SVM","display_name":"Similar Handwritten Chinese Character Recognition Based on CNN-SVM","publication_year":2017,"publication_date":"2017-06-24","ids":{"openalex":"https://openalex.org/W2752533414","doi":"https://doi.org/10.1145/3121360.3121376","mag":"2752533414"},"language":"en","primary_location":{"id":"doi:10.1145/3121360.3121376","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3121360.3121376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference on Graphics and Signal Processing","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/A5100771922","display_name":"Lu Liu","orcid":"https://orcid.org/0000-0003-1352-421X"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liu Lu","raw_affiliation_strings":["Harbin University of Science and Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029665623","display_name":"Yang Pei-liang","orcid":null},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Pei-liang","raw_affiliation_strings":["Harbin University of Science and Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050009113","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-3399-7858"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun Wei-wei","raw_affiliation_strings":["Harbin University of Science and Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038424649","display_name":"Jianwei Ma","orcid":"https://orcid.org/0000-0003-4069-8880"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ma Jian-wei","raw_affiliation_strings":["Harbin University of Science and Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100771922"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":null,"apc_paid":null,"fwci":0.5461,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75954487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","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"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9886000156402588,"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/T13579","display_name":"Image and Video Stabilization","score":0.9740999937057495,"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":0.8059225082397461},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7874040603637695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7509758472442627},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7446401715278625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6716268658638},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6503766179084778},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5959057807922363},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.561316967010498},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5549649000167847},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4754078984260559},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.4621847867965698},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.46178561449050903},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37825947999954224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06690019369125366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8059225082397461},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7874040603637695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7509758472442627},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7446401715278625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6716268658638},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6503766179084778},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5959057807922363},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.561316967010498},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5549649000167847},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4754078984260559},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.4621847867965698},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.46178561449050903},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37825947999954224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06690019369125366},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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:10.1145/3121360.3121376","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3121360.3121376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference on Graphics and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8700000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2125085157","https://openalex.org/W2142513651","https://openalex.org/W2153635508","https://openalex.org/W2154506590","https://openalex.org/W2349298628","https://openalex.org/W2368991465","https://openalex.org/W2375217750","https://openalex.org/W2384128659","https://openalex.org/W2391444351","https://openalex.org/W2919115771","https://openalex.org/W7042822241"],"related_works":["https://openalex.org/W2579473328","https://openalex.org/W2509147714","https://openalex.org/W4239898203","https://openalex.org/W2586833044","https://openalex.org/W2603666417","https://openalex.org/W46955353","https://openalex.org/W2315021981","https://openalex.org/W4293226380","https://openalex.org/W2955295882","https://openalex.org/W2964954556"],"abstract_inverted_index":{"For":[0],"the":[1,17,27,31,65,80,88,95,102,107,115,124],"past":[2],"several":[3],"decades,":[4],"offline":[5],"handwritten":[6,33],"character":[7],"recognition":[8,28],"is":[9,127],"widely":[10],"and":[11,46,59,72,78,85,121],"deeply":[12],"studied.":[13],"The":[14],"requirements":[15],"of":[16,30,53,109],"identification":[18],"results":[19],"are":[20,36,83],"constantly":[21],"improving":[22],"in":[23,40],"practical":[24],"applications.":[25],"However,":[26],"rates":[29],"similar":[32],"Chinese":[34,74],"characters":[35,75],"not":[37],"very":[38],"high":[39],"different":[41],"writing":[42,44,47],"style,":[43],"environment":[45],"mode.":[48],"We":[49],"propose":[50],"a":[51],"method":[52],"combining":[54],"deep":[55,66,96],"convolution":[56,67,97],"neural":[57,68,98],"network":[58,69,99],"support":[60,89,116],"vector":[61,90,117],"machine":[62,118],"together.":[63],"Using":[64],"to":[70,119],"learn":[71],"extract":[73,101],"features":[76,82,103],"automatically,":[77],"then":[79,113],"extracted":[81],"classified":[84],"identified":[86],"by":[87],"machine.":[91],"Experiments":[92],"show":[93],"that":[94],"can":[100],"effectively,":[104],"which":[105],"avoided":[106],"shortage":[108],"artificial":[110],"feature":[111],"extraction,":[112],"using":[114],"classify":[120],"identify":[122],"that,":[123],"accuracy":[125],"rate":[126],"further":[128],"improved.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}