{"id":"https://openalex.org/W2398721094","doi":"https://doi.org/10.1109/icassp.2016.7472019","title":"Scanned document enhancement based on fast text detection","display_name":"Scanned document enhancement based on fast text detection","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2398721094","doi":"https://doi.org/10.1109/icassp.2016.7472019","mag":"2398721094"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100372089","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0003-0146-7262"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072751684","display_name":"Jobin Jmathew","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jobin Jmathew","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, US"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, US","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110980789","display_name":"Eli Saber","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eli Saber","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, US"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, US","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064529685","display_name":"David J. Larson","orcid":"https://orcid.org/0000-0003-0814-8555"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Larson","raw_affiliation_strings":["Hewlett Packard Company - Color & Imaging, Boise, ID, USA"],"affiliations":[{"raw_affiliation_string":"Hewlett Packard Company - Color & Imaging, Boise, ID, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034794728","display_name":"P\u00e9ter Bauer","orcid":"https://orcid.org/0000-0002-1925-2270"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Bauer","raw_affiliation_strings":["Hewlett Packard Company - Color & Imaging, Boise, ID, USA"],"affiliations":[{"raw_affiliation_string":"Hewlett Packard Company - Color & Imaging, Boise, ID, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075630995","display_name":"George Kerby","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Kerby","raw_affiliation_strings":["Hewlett Packard Company - Color & Imaging, Boise, ID, USA"],"affiliations":[{"raw_affiliation_string":"Hewlett Packard Company - Color & Imaging, Boise, ID, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008202403","display_name":"Jerry Wagner","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jerry Wagner","raw_affiliation_strings":["Hewlett Packard Company - Color & Imaging, Boise, ID, USA"],"affiliations":[{"raw_affiliation_string":"Hewlett Packard Company - Color & Imaging, Boise, ID, USA","institution_ids":["https://openalex.org/I1324840837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100372089"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6465672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1961","last_page":"1965"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/strips","display_name":"STRIPS","score":0.8205100297927856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.764299213886261},{"id":"https://openalex.org/keywords/chrominance","display_name":"Chrominance","score":0.7363830208778381},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6942732930183411},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6284777522087097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5948220491409302},{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.5583611130714417},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5494548082351685},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5462637543678284},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5103740096092224},{"id":"https://openalex.org/keywords/edge-enhancement","display_name":"Edge enhancement","score":0.49039435386657715},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48118501901626587},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44586291909217834},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43138885498046875},{"id":"https://openalex.org/keywords/monochromatic-color","display_name":"Monochromatic color","score":0.4161616265773773},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.40882638096809387},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.36798107624053955},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28582826256752014},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1373519003391266},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11535751819610596},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10454300045967102}],"concepts":[{"id":"https://openalex.org/C200925200","wikidata":"https://www.wikidata.org/wiki/Q7624170","display_name":"STRIPS","level":2,"score":0.8205100297927856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.764299213886261},{"id":"https://openalex.org/C163204269","wikidata":"https://www.wikidata.org/wiki/Q355263","display_name":"Chrominance","level":3,"score":0.7363830208778381},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6942732930183411},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6284777522087097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5948220491409302},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.5583611130714417},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5494548082351685},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5462637543678284},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5103740096092224},{"id":"https://openalex.org/C30108884","wikidata":"https://www.wikidata.org/wiki/Q1242761","display_name":"Edge enhancement","level":4,"score":0.49039435386657715},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48118501901626587},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44586291909217834},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43138885498046875},{"id":"https://openalex.org/C40833965","wikidata":"https://www.wikidata.org/wiki/Q6901438","display_name":"Monochromatic color","level":2,"score":0.4161616265773773},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.40882638096809387},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.36798107624053955},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28582826256752014},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1373519003391266},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11535751819610596},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10454300045967102},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":17,"referenced_works":["https://openalex.org/W1837385667","https://openalex.org/W1987287726","https://openalex.org/W2033961077","https://openalex.org/W2042849080","https://openalex.org/W2055729280","https://openalex.org/W2094549658","https://openalex.org/W2133377862","https://openalex.org/W2147244286","https://openalex.org/W2151537777","https://openalex.org/W2164767239","https://openalex.org/W3097096317","https://openalex.org/W3214102110","https://openalex.org/W4292936476","https://openalex.org/W4299635563","https://openalex.org/W6659117126","https://openalex.org/W6679663166","https://openalex.org/W6804270185"],"related_works":["https://openalex.org/W1799575154","https://openalex.org/W2005759937","https://openalex.org/W2225603070","https://openalex.org/W2034025452","https://openalex.org/W3204377033","https://openalex.org/W2112392814","https://openalex.org/W4294686918","https://openalex.org/W1519205427","https://openalex.org/W2103776896","https://openalex.org/W1965634534"],"abstract_inverted_index":{"In":[0,126],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,47,61,101,152],"Fast":[6],"Text":[7],"Detection":[8],"(FTD)":[9],"algorithm":[10,162],"to":[11,46,76,87,91,100,119,144,178],"automatically":[12],"identify":[13],"the":[14,34,37,43,67,88,111,121,127,131,141,145,156],"text":[15,28,124,128,147],"and":[16,23,50,75,104,110,140,158,171,174],"line":[17],"art":[18],"pixels":[19,142,148],"in":[20,29,155,166,181],"scanned":[21],"monochromatic":[22],"color":[24],"documents":[25],"for":[26,70],"enhancing":[27],"printed":[30],"documents.":[31],"To":[32],"simulate":[33],"scanning":[35],"operation,":[36,130],"input":[38,68],"image":[39,133],"is":[40,51,58,84,134,163,175],"converted":[41,136],"from":[42],"RGB":[44],"space":[45,49,139],"Luminance-Chrominance":[48],"then":[52,85,98],"divided":[53],"into":[54,137],"individual":[55],"strips.":[56],"This":[57,161],"followed":[59],"by":[60],"low":[62],"pass":[63],"filtering":[64],"operation":[65,103,154],"on":[66],"strips":[69,90,115],"removing":[71],"high":[72],"frequency":[73],"noise":[74],"reduce":[77],"processing":[78,172],"time.":[79],"An":[80],"edge":[81],"detection":[82],"scheme":[83],"applied":[86],"blurred":[89],"generate":[92],"corresponding":[93,143],"edge-strips.":[94],"The":[95],"edge-strips":[96],"are":[97,116,149],"subjected":[99],"morphological":[102],"an":[105],"edge-based":[106],"adaptive":[107],"thresholding":[108],"simultaneously":[109],"resulting":[112],"two":[113],"output":[114],"merged":[117],"together":[118],"obtain":[120],"final":[122],"candidate":[123],"plane.":[125],"enhancement":[129],"original":[132],"first":[135],"LCH":[138],"detected":[146],"enhanced":[150],"via":[151],"clipping":[153],"L":[157],"C":[159],"channel.":[160],"highly":[164],"efficient":[165],"terms":[167],"of":[168],"memory":[169],"usage":[170],"speed":[173],"thus":[176],"suited":[177],"run":[179],"effectively":[180],"low-cost":[182],"embedded":[183],"devices.":[184]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}