{"id":"https://openalex.org/W2014116862","doi":"https://doi.org/10.1145/1815330.1815350","title":"Occluded text restoration and recognition","display_name":"Occluded text restoration and recognition","publication_year":2010,"publication_date":"2010-06-09","ids":{"openalex":"https://openalex.org/W2014116862","doi":"https://doi.org/10.1145/1815330.1815350","mag":"2014116862"},"language":"en","primary_location":{"id":"doi:10.1145/1815330.1815350","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1815330.1815350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th IAPR International Workshop on Document Analysis Systems","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/A5077522938","display_name":"Lanlan Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lanlan Chang","raw_affiliation_strings":["Fujitsu R &amp; D Center, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Fujitsu R &amp; D Center, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327195","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0002-0967-4859"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["Fujitsu R &amp; D Center, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Fujitsu R &amp; D Center, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110596195","display_name":"Misako Suwa","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Misako Suwa","raw_affiliation_strings":["Fujitsu Laboratories, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040886013","display_name":"Hiroaki Takebe","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Takebe","raw_affiliation_strings":["Fujitsu Laboratories, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802340","display_name":"Yuan He","orcid":"https://orcid.org/0000-0002-6885-1341"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan He","raw_affiliation_strings":["Fujitsu R &amp; D Center, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Fujitsu R &amp; D Center, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031845777","display_name":"Satoshi Naoi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Satoshi Naoi","raw_affiliation_strings":["Fujitsu R &amp; D Center, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Fujitsu R &amp; D Center, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210159607"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077522938"],"corresponding_institution_ids":["https://openalex.org/I4210159607"],"apc_list":null,"apc_paid":null,"fwci":0.3187,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.57833712,"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":"151","last_page":"158"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9966999888420105,"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":0.9951000213623047,"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":0.7389532327651978},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6217876672744751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6110871434211731},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.5423544049263},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.5369448661804199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5169860124588013},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4804084599018097},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.44936007261276245},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4404104948043823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4322251081466675},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24368146061897278},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22682979702949524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7389532327651978},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6217876672744751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6110871434211731},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.5423544049263},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.5369448661804199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5169860124588013},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4804084599018097},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.44936007261276245},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4404104948043823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4322251081466675},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24368146061897278},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22682979702949524},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1815330.1815350","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1815330.1815350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th IAPR International Workshop on Document Analysis Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1518016839","https://openalex.org/W1999360130","https://openalex.org/W2010417269","https://openalex.org/W2027883219","https://openalex.org/W2084227286","https://openalex.org/W2101961989","https://openalex.org/W2105038642","https://openalex.org/W2116013899","https://openalex.org/W2119765017","https://openalex.org/W2133172642","https://openalex.org/W2295936755","https://openalex.org/W4235324396"],"related_works":["https://openalex.org/W2369048989","https://openalex.org/W2142488199","https://openalex.org/W2387794751","https://openalex.org/W2367131347","https://openalex.org/W3190162935","https://openalex.org/W2013767392","https://openalex.org/W2892857623","https://openalex.org/W2595338207","https://openalex.org/W2997809463","https://openalex.org/W1973075426"],"abstract_inverted_index":{"Text":[0],"occlusion":[1],"is":[2,17,67,90,124],"among":[3],"the":[4,53,73,87,95,103,113,117,122,132,136],"most":[5],"intractable":[6],"obstacles":[7],"for":[8],"OCR":[9,119],"engines.":[10],"A":[11],"typical":[12],"example":[13],"in":[14,68],"document":[15],"images":[16],"visible":[18],"watermark":[19,35],"characters,":[20],"which":[21,51,79],"are":[22],"often":[23],"occluded":[24],"by":[25,33,56],"foreground":[26],"contents.":[27],"This":[28],"paper":[29],"proposes":[30],"a":[31,44,69],"solution":[32],"restoring":[34],"characters":[36],"before":[37],"recognition.":[38],"The":[39,64],"text":[40],"restoration":[41,49,108],"process":[42],"consists":[43],"core":[45],"module":[46],"as":[47],"patch-based":[48],"method,":[50],"reconstructs":[52],"missing":[54],"areas":[55],"referring":[57],"to":[58,81],"similar":[59],"patches":[60],"from":[61],"undamaged":[62],"areas.":[63],"filling":[65],"sequence":[66],"order":[70],"based":[71,93,126],"on":[72,94,127],"structure":[74],"complexity":[75],"inside":[76],"each":[77],"patch,":[78],"helps":[80],"suppress":[82],"reconstruction":[83],"error":[84],"propagation.":[85],"Furthermore,":[86,121],"patch":[88],"size":[89],"adaptively":[91],"selected":[92],"local":[96],"character":[97],"stroke":[98],"width.":[99],"Experiments":[100],"show":[101],"that":[102],"proposed":[104],"method":[105],"produces":[106],"good":[107],"quality":[109],"and":[110,131],"effectively":[111],"improves":[112],"recognition":[114],"rate":[115],"of":[116],"following":[118],"process.":[120],"algorithm":[123],"optimized":[125],"statistical":[128],"analysis":[129],"model":[130],"processing":[133],"time":[134],"meets":[135],"real-time":[137],"responding":[138],"requirement.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
