{"id":"https://openalex.org/W2970059450","doi":"https://doi.org/10.1109/icip.2019.8803189","title":"Recognizing Chinese Texts with 3D Convolutional Neural Network","display_name":"Recognizing Chinese Texts with 3D Convolutional Neural Network","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970059450","doi":"https://doi.org/10.1109/icip.2019.8803189","mag":"2970059450"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5060111415","display_name":"Kuan\u2010Chou Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kuan-Chou Chen","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013459131","display_name":"Guan-Ting Lin","orcid":"https://orcid.org/0000-0001-9895-0060"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Guan-Ting Lin","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102015667","display_name":"Che-Tsung Lin","orcid":"https://orcid.org/0000-0002-5843-7294"},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Che-Tsung Lin","raw_affiliation_strings":["Industrial Technology Research Institute, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022312926","display_name":"Jiun-In Guo","orcid":"https://orcid.org/0000-0003-0402-2621"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jiun-In Guo","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060111415"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08266113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2120","last_page":"2123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9930999875068665,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9900000095367432,"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":0.878269612789154},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8433784246444702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6552623510360718},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5455793738365173},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5419380068778992},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5030338168144226},{"id":"https://openalex.org/keywords/signage","display_name":"Signage","score":0.4946844279766083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.878269612789154},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8433784246444702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6552623510360718},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5455793738365173},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5419380068778992},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5030338168144226},{"id":"https://openalex.org/C114938261","wikidata":"https://www.wikidata.org/wiki/Q1211272","display_name":"Signage","level":2,"score":0.4946844279766083},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522734439","https://openalex.org/W1536680647","https://openalex.org/W2097117768","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2570343428","https://openalex.org/W2613718673","https://openalex.org/W2922168223","https://openalex.org/W2963037989","https://openalex.org/W6620707391","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4363672910","https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0,95],"this":[1,97],"paper,":[2],"we":[3],"propose":[4],"a":[5,87,92],"deep":[6],"learning":[7],"system":[8,29,72,98],"to":[9,64],"localize":[10],"and":[11,19,36,56],"recognize":[12],"Chinese":[13,79],"texts":[14,80],"in":[15,77,86],"scenes":[16],"with":[17,91,105,109],"signage":[18],"road":[20,84],"marks":[21,85],"through":[22],"3D":[23,38],"convolutional":[24,39],"neural":[25,40],"network.":[26],"The":[27,46,70],"proposed":[28,47,71],"adopts":[30],"YOLO":[31],"for":[32,42,116],"detecting":[33],"target":[34],"location":[35],"exploits":[37],"network":[41],"recognizing":[43,78],"the":[44,50],"contents.":[45],"design":[48],"outperforms":[49],"existing":[51],"designs":[52],"based":[53],"on":[54,67,81],"LSTM":[55],"achieves":[57],"real-time":[58],"processing":[59],"performance,":[60],"which":[61,112],"is":[62,113],"feasible":[63],"be":[65],"implemented":[66],"embedded":[68],"platforms.":[69],"reaches":[73],"over":[74],"90%":[75],"accuracy":[76],"bird's-eye":[82],"viewing":[83],"self-driving":[88],"vehicle":[89],"equipped":[90],"fisheye":[93],"camera.":[94],"addition,":[96],"can":[99],"achieve":[100],"20":[101],"fps":[102],"execution":[103],"speed":[104],"NVIDIA":[106],"DIGITS":[107],"DevBox":[108],"1080Ti":[110],"GPU,":[111],"fast":[114],"enough":[115],"autonomous":[117],"driving":[118],"applications.":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
