{"id":"https://openalex.org/W1986155710","doi":"https://doi.org/10.1145/1378889.1378934","title":"User-assisted ink-bleed correction for handwritten documents","display_name":"User-assisted ink-bleed correction for handwritten documents","publication_year":2008,"publication_date":"2008-06-16","ids":{"openalex":"https://openalex.org/W1986155710","doi":"https://doi.org/10.1145/1378889.1378934","mag":"1986155710"},"language":"en","primary_location":{"id":"doi:10.1145/1378889.1378934","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1378889.1378934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001013401","display_name":"Yizhong Huang","orcid":"https://orcid.org/0000-0003-2644-856X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yi Huang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075135613","display_name":"Michael S. Brown","orcid":"https://orcid.org/0000-0002-6357-2562"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Michael S. Brown","raw_affiliation_strings":["National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"263","last_page":"271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9961000084877014,"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":0.9887999892234802,"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/computer-science","display_name":"Computer science","score":0.7398947477340698},{"id":"https://openalex.org/keywords/inkwell","display_name":"Inkwell","score":0.6590628027915955},{"id":"https://openalex.org/keywords/bleed","display_name":"Bleed","score":0.5253968834877014},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46093621850013733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.421627402305603},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37411072850227356},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3614521622657776},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06789723038673401}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398947477340698},{"id":"https://openalex.org/C109693293","wikidata":"https://www.wikidata.org/wiki/Q1496072","display_name":"Inkwell","level":2,"score":0.6590628027915955},{"id":"https://openalex.org/C2776259030","wikidata":"https://www.wikidata.org/wiki/Q769508","display_name":"Bleed","level":2,"score":0.5253968834877014},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46093621850013733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.421627402305603},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37411072850227356},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3614521622657776},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06789723038673401},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1378889.1378934","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1378889.1378934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/41693","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/41693","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1754132210","https://openalex.org/W1977828664","https://openalex.org/W2019205644","https://openalex.org/W2035508962","https://openalex.org/W2038290463","https://openalex.org/W2066759520","https://openalex.org/W2112349173","https://openalex.org/W2116343366","https://openalex.org/W2128409098","https://openalex.org/W2152433205","https://openalex.org/W2155490316","https://openalex.org/W2159899789","https://openalex.org/W2160308942","https://openalex.org/W2170709565","https://openalex.org/W4244494905","https://openalex.org/W4249142012","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2401785169","https://openalex.org/W2999293082","https://openalex.org/W2326635610","https://openalex.org/W4224281037","https://openalex.org/W2508766897","https://openalex.org/W1993751472","https://openalex.org/W2397934388","https://openalex.org/W2371758386","https://openalex.org/W1949594991","https://openalex.org/W2008795977"],"abstract_inverted_index":{"We":[0],"describe":[1],"a":[2,94],"user-assisted":[3],"framework":[4],"for":[5,29,43,59],"correcting":[6],"ink-bleed":[7,37],"in":[8,89],"old":[9],"handwritten":[10],"documents":[11],"housed":[12],"at":[13],"the":[14,60,65,86,90],"National":[15],"Archives":[16],"of":[17,73],"Singapore":[18],"(NAS).":[19],"Our":[20],"approach":[21],"departs":[22],"from":[23],"traditional":[24],"correction":[25],"techniques":[26],"that":[27,39,55,97],"strive":[28],"full":[30],"automation.":[31],"Fully-automated":[32],"approaches":[33,48],"make":[34],"assumptions":[35],"about":[36],"characteristics":[38],"are":[40,82],"not":[41],"valid":[42],"all":[44],"inputs.":[45],"Furthermore,":[46],"fully-automated":[47,105],"often":[49],"have":[50,56],"to":[51,69,84,92,100],"set":[52],"algorithmic":[53],"parameters":[54],"no":[57],"meaning":[58],"end-user.":[61],"In":[62],"our":[63],"system,":[64],"user":[66],"needs":[67],"only":[68],"provide":[70],"simple":[71],"examples":[72,81],"ink-bleed,":[74],"foreground":[75],"ink,":[76],"and":[77],"background.":[78],"These":[79],"training":[80],"used":[83],"classify":[85],"remaining":[87],"pixels":[88],"document":[91],"produce":[93],"computer-generated":[95],"result":[96],"is":[98],"equal":[99],"or":[101],"better":[102],"than":[103],"existing":[104],"approaches.":[106]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}