{"id":"https://openalex.org/W1980787823","doi":"https://doi.org/10.1145/2361354.2361379","title":"Effective radical segmentation of offline handwritten Chinese characters towards constructing personal handwritten fonts","display_name":"Effective radical segmentation of offline handwritten Chinese characters towards constructing personal handwritten fonts","publication_year":2012,"publication_date":"2012-09-04","ids":{"openalex":"https://openalex.org/W1980787823","doi":"https://doi.org/10.1145/2361354.2361379","mag":"1980787823"},"language":"en","primary_location":{"id":"doi:10.1145/2361354.2361379","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2361354.2361379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 ACM symposium on Document engineering","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/A5043935776","display_name":"Zhanghui Chen","orcid":"https://orcid.org/0000-0002-6375-8797"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhanghui Chen","raw_affiliation_strings":["State Key Laboratory for Superlattices and Microstructures,Institute of Semiconductors,Chinese Academy of Sciences, Beijing, China","State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, CHINA"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Superlattices and Microstructures,Institute of Semiconductors,Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, CHINA","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108198495","display_name":"Baoyao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103679","display_name":"Beijing Emergency Medical Center","ror":"https://ror.org/018zkg706","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210103679"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoyao Zhou","raw_affiliation_strings":["EMC Labs China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"EMC Labs China, Beijing, China","institution_ids":["https://openalex.org/I4210103679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043935776"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210149211"],"apc_list":null,"apc_paid":null,"fwci":0.5491,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6610592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"116"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9973999857902527,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9955000281333923,"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":0.8412188291549683},{"id":"https://openalex.org/keywords/handwriting","display_name":"Handwriting","score":0.7985343933105469},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7461453080177307},{"id":"https://openalex.org/keywords/font","display_name":"Font","score":0.7268399000167847},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.7239171266555786},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6012892723083496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5952551960945129},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.5729050040245056},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5475004315376282},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4935044050216675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46988561749458313},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4255760908126831},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4218774437904358},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.31536751985549927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0768110454082489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8412188291549683},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.7985343933105469},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7461453080177307},{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.7268399000167847},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.7239171266555786},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6012892723083496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5952551960945129},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.5729050040245056},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5475004315376282},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4935044050216675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46988561749458313},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4255760908126831},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4218774437904358},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31536751985549927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0768110454082489},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2361354.2361379","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2361354.2361379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 ACM symposium on Document engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1538584563","https://openalex.org/W1541289515","https://openalex.org/W1992064402","https://openalex.org/W2000708120","https://openalex.org/W2007121438","https://openalex.org/W2013796776","https://openalex.org/W2035609259","https://openalex.org/W2054635264","https://openalex.org/W2094403425","https://openalex.org/W2125462973","https://openalex.org/W2131351540","https://openalex.org/W2134238040","https://openalex.org/W2145803225","https://openalex.org/W2153219261","https://openalex.org/W2168663765","https://openalex.org/W2186503188","https://openalex.org/W2283731096","https://openalex.org/W2472599435"],"related_works":["https://openalex.org/W1974753588","https://openalex.org/W3003949997","https://openalex.org/W2110485610","https://openalex.org/W3199359807","https://openalex.org/W2378345698","https://openalex.org/W3047607512","https://openalex.org/W4390983538","https://openalex.org/W2744690920","https://openalex.org/W2787081548","https://openalex.org/W183832189"],"abstract_inverted_index":{"Effective":[0],"radical":[1,73],"segmentation":[2,74,112,126],"of":[3,23,56,77,137,167,187,202],"handwritten":[4,25,68,104,153,193],"Chinese":[5,17,24,69,105,152],"characters":[6,106,161],"can":[7,95],"greatly":[8,198],"facilitate":[9],"the":[10,21,38,65,92,125,135,138,143,159,164,168,178,200],"subsequent":[11],"character":[12],"processing":[13],"tasks,":[14],"such":[15,47],"as":[16],"handwriting":[18,165],"recognition/identification":[19],"and":[20,42,59,86,101,121,124,170,205],"generation":[22],"fonts.":[26],"In":[27,175],"this":[28,176],"paper,":[29],"a":[30,51,184],"popular":[31],"snake":[32],"model":[33],"is":[34,128],"enhanced":[35],"by":[36,44],"considering":[37],"guided":[39],"image":[40],"force":[41],"optimized":[43],"Genetic":[45,83],"Algorithm,":[46],"that":[48,91,158],"it":[49,207],"achieves":[50],"significant":[52],"improvement":[53],"in":[54,67,221],"terms":[55],"both":[57],"accuracy":[58,113],"efficiency":[60],"when":[61],"applied":[62],"to":[63,149,182,212,215],"segment":[64],"radicals":[66,98,123,140],"characters.":[70],"The":[71,111],"proposed":[72,93],"approach":[75,94],"consists":[76],"three":[78],"stages:":[79],"constructing":[80],"guide":[81],"information,":[82],"Algorithm":[84],"optimization":[85],"post-embellishment.":[87],"Testing":[88],"results":[89],"show":[90,157],"effectively":[96],"decompose":[97],"with":[99,107,119],"overlaps":[100],"connections":[102],"from":[103,142],"various":[108],"layout":[109],"structures.":[110],"reaches":[114],"94.91%":[115],"for":[116,189,210],"complicated":[117],"samples":[118,146,188],"overlapped":[120],"connected":[122],"speed":[127],"0.05":[129],"second":[130],"per":[131],"character.":[132],"For":[133],"demonstrating":[134],"advantages":[136],"approach,":[139],"extracted":[141],"user":[144,169,179],"input":[145],"are":[147],"reused":[148],"construct":[150],"personal":[151],"font":[154,194],"library.":[155,195],"Experiments":[156],"constructed":[160],"well":[162],"maintain":[163],"style":[166],"have":[171],"good":[172],"enough":[173],"performance.":[174],"way,":[177],"only":[180],"needs":[181],"write":[183,216],"small":[185],"number":[186],"obtaining":[190],"his/her":[191],"own":[192,223],"This":[196],"method":[197],"reduces":[199],"cost":[201],"existing":[203],"solutions":[204],"makes":[206],"much":[208],"easier":[209],"people":[211],"use":[213],"computers":[214],"letters/e-mails,":[217],"diaries/blogs,":[218],"even":[219],"magazines/books":[220],"their":[222],"handwriting.":[224]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}