{"id":"https://openalex.org/W2965632169","doi":"https://doi.org/10.1109/icaci.2019.8778533","title":"Drawing Order Recovery based on deep learning","display_name":"Drawing Order Recovery based on deep learning","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2965632169","doi":"https://doi.org/10.1109/icaci.2019.8778533","mag":"2965632169"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2019.8778533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2019.8778533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)","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/A5100422076","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-7035-1485"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["Guangxi Key Laboratory of Trused Software, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trused Software, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711018","display_name":"Jinlong Chen","orcid":"https://orcid.org/0000-0002-9818-3102"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Chen","raw_affiliation_strings":["Guangxi Key Laboratory of Cryptography & Information Security of Guilin, University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Cryptography & Information Security of Guilin, University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108361021","display_name":"Minghao Yang","orcid":"https://orcid.org/0000-0001-5397-3576"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Yang","raw_affiliation_strings":["National Laboratory of Pattern Software Recognition, Chinese Academy of Sciences, BeiJing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Software Recognition, Chinese Academy of Sciences, BeiJing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100422076"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.64860073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9969000220298767,"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":0.9850999712944031,"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/handwriting","display_name":"Handwriting","score":0.8130984306335449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7982184290885925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7191197872161865},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.636646568775177},{"id":"https://openalex.org/keywords/font","display_name":"Font","score":0.6024456024169922},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.589977502822876},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.5249022245407104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48002853989601135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47318530082702637},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4557984471321106},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.41834694147109985},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3583947420120239},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3519727289676666},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.21717259287834167}],"concepts":[{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.8130984306335449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7982184290885925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7191197872161865},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.636646568775177},{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.6024456024169922},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.589977502822876},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.5249022245407104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48002853989601135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47318530082702637},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4557984471321106},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.41834694147109985},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3583947420120239},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3519727289676666},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.21717259287834167},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci.2019.8778533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2019.8778533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1524876627","https://openalex.org/W2008945273","https://openalex.org/W2083353381","https://openalex.org/W2096252661","https://openalex.org/W2118979159","https://openalex.org/W2126864812","https://openalex.org/W2156338447","https://openalex.org/W2545087860","https://openalex.org/W2561378783","https://openalex.org/W2963047498","https://openalex.org/W2964103813","https://openalex.org/W6678956039"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3003949997","https://openalex.org/W3199359807","https://openalex.org/W2110485610","https://openalex.org/W3047607512","https://openalex.org/W4390983538","https://openalex.org/W2744690920"],"abstract_inverted_index":{"Humans":[0],"have":[1,90],"the":[2,6,19,26,41,65,71,76,99,105,111,114,121,125,128,135,146,160],"ability":[3],"to":[4,29,37,119,133,144],"recover":[5],"order":[7],"from":[8],"static":[9,47,73],"handwritten":[10,74],"images,":[11],"after":[12],"a":[13,33,53,80],"large":[14],"amount":[15],"of":[16,43,46,78,95,104,124,138,156],"data":[17,28],"training,":[18],"machine":[20],"may":[21],"learn":[22,32],"some":[23],"patterns":[24],"in":[25],"training":[27,67],"imitate":[30],"or":[31],"certain":[34],"skill":[35],"similar":[36],"humans.":[38],"To":[39],"overcome":[40],"problem":[42],"sequence":[44],"recovery":[45,55,112],"image":[48],"strokes,":[49,97],"this":[50],"paper":[51],"proposes":[52],"stroke":[54,122,140,148],"method":[56,162],"based":[57],"on":[58],"deep":[59],"convolutional":[60],"neural":[61],"network":[62],"model.":[63],"In":[64,110],"model":[66,130],"phase,":[68,113],"by":[69],"using":[70],"two-dimensional":[72],"image,":[75],"process":[77],"writing":[79,158],"font":[81,116],"is":[82,117,131],"convert":[83],"into":[84],"three":[85],"channels":[86],"includes":[87],"strokes":[88],"that":[89],"been":[91],"written,":[92],"possible":[93],"positions":[94],"next":[96],"and":[98,102,127,165],"completed":[100],"font,":[101,126],"state":[103],"input":[106],"sample":[107],"are":[108],"quantified.":[109],"restored":[115],"preprocessed":[118],"obtain":[120,145],"segments":[123],"trained":[129],"used":[132],"evaluate":[134],"sequential":[136],"combination":[137],"different":[139],"segments,":[141],"so":[142],"as":[143],"correct":[147],"order.":[149],"With":[150],"no":[151],"more":[152],"than":[153],"one":[154],"hundred":[155],"characters'":[157],"experiences,":[159],"proposed":[161],"performs":[163],"robustly":[164],"competitively":[166],"among":[167],"multi-writer":[168],"handwriting":[169],"DOR":[170],"tasks.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
