{"id":"https://openalex.org/W2799973525","doi":"https://doi.org/10.1117/12.2311341","title":"Fast words boundaries localization in text fields for low quality document images","display_name":"Fast words boundaries localization in text fields for low quality document images","publication_year":2018,"publication_date":"2018-04-13","ids":{"openalex":"https://openalex.org/W2799973525","doi":"https://doi.org/10.1117/12.2311341","mag":"2799973525"},"language":"en","primary_location":{"id":"doi:10.1117/12.2311341","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2311341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","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/A5066631478","display_name":"Dmitry Nikolaev","orcid":"https://orcid.org/0000-0001-5560-7668"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Dmitry P. Nikolaev","raw_affiliation_strings":["Institute for Information Transmission Problems (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083635256","display_name":"Dmitriy Novikov","orcid":null},"institutions":[{"id":"https://openalex.org/I153845743","display_name":"Moscow Institute of Physics and Technology","ror":"https://ror.org/00v0z9322","country_code":"RU","type":"education","lineage":["https://openalex.org/I153845743"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitriy Novikov","raw_affiliation_strings":["Moscow Institute of Physics and Technology (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Moscow Institute of Physics and Technology (Russian Federation)","institution_ids":["https://openalex.org/I153845743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071459998","display_name":"Dmitrii N. Ilin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dmitrii Ilin","raw_affiliation_strings":["Smart Engines Ltd. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Smart Engines Ltd. (Russian Federation)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069405925","display_name":"Polevoy Dmitry","orcid":"https://orcid.org/0000-0002-1055-3464"},"institutions":[{"id":"https://openalex.org/I4210115688","display_name":"Institute for Systems Analysis","ror":"https://ror.org/02kmet255","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210115688"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Polevoy","raw_affiliation_strings":["Institute for Systems Analysis (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Systems Analysis (Russian Federation)","institution_ids":["https://openalex.org/I4210115688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066631478"],"corresponding_institution_ids":["https://openalex.org/I4210107660"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03181503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"108","last_page":"108"},"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":0.9951000213623047,"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"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9811999797821045,"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":0.8084268569946289},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5240552425384521},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5113491415977478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5000455379486084},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.48977231979370117},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4628908038139343},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46141207218170166},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4586520195007324},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4558880925178528},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.426937460899353},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3424888849258423},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2892352342605591}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8084268569946289},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5240552425384521},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5113491415977478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5000455379486084},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.48977231979370117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4628908038139343},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46141207218170166},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4586520195007324},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4558880925178528},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.426937460899353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3424888849258423},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2892352342605591},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/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:10.1117/12.2311341","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2311341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W569657015","https://openalex.org/W1983275987","https://openalex.org/W2024959534","https://openalex.org/W2029189646","https://openalex.org/W2135231474","https://openalex.org/W2137369573","https://openalex.org/W2141924067","https://openalex.org/W2193870916","https://openalex.org/W2340583188","https://openalex.org/W2777421064","https://openalex.org/W4229504449","https://openalex.org/W6657951673","https://openalex.org/W6680470818"],"related_works":["https://openalex.org/W3034529322","https://openalex.org/W2113597336","https://openalex.org/W2115913271","https://openalex.org/W2155505549","https://openalex.org/W2357479218","https://openalex.org/W1819546284","https://openalex.org/W2043253324","https://openalex.org/W2018648706","https://openalex.org/W2114232034","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,162,203,222],"paper":[1,167],"examines":[2],"the":[3,82,105,119,137,157,174,206],"problem":[4,83,172],"of":[5,21,27,65,78,84,111,130,156,176,205,218,232],"word":[6,85],"boundaries":[7,86,226],"precise":[8],"localization":[9,26,87,227],"in":[10,32,136,165,194],"document":[11,22,60,74,159],"text":[12,79,122,135,178],"zones.":[13],"Document":[14],"processing":[15,61],"on":[16,94,151,179,214,228],"a":[17,43,169,186,190,219,229],"mobile":[18,44,95,152,158,220],"device":[19],"consists":[20],"localization,":[23],"perspective":[24,53],"correction,":[25],"individual":[28],"fields,":[29],"finding":[30,177],"words":[31],"separate":[33],"zones,":[34],"segmentation":[35],"and":[36,189],"recognition.":[37],"While":[38],"capturing":[39,49],"an":[40,140,198,215],"image":[41],"with":[42,97],"digital":[45,51],"camera":[46],"under":[47,101],"uncontrolled":[48],"conditions,":[50],"noise,":[52],"distortions":[54],"or":[55],"glares":[56],"may":[57],"occur.":[58],"Further":[59],"gets":[62],"complicated":[63],"because":[64],"its":[66],"specifics:":[67],"layout":[68],"elements,":[69,76],"complex":[70],"background,":[71],"static":[72],"text,":[73],"security":[75],"variety":[77],"fonts.":[80],"However,":[81],"has":[88],"to":[89,196],"be":[90],"solved":[91],"at":[92],"runtime":[93],"CPU":[96],"limited":[98,126],"computing":[99],"capabilities":[100],"specified":[102],"restrictions.":[103],"At":[104],"moment,":[106],"there":[107],"are":[108,123,146],"several":[109],"groups":[110],"methods":[112],"optimized":[113],"for":[114,118,128,134,149,225],"different":[115],"conditions.":[116],"Methods":[117,133],"scanned":[120],"printed":[121],"quick":[124],"but":[125],"only":[127],"images":[129],"high":[131,142],"quality.":[132],"wild":[138],"have":[139],"excessively":[141],"computational":[143],"complexity,":[144],"thus,":[145],"hardly":[147],"suitable":[148],"running":[150,213],"devices":[153],"as":[154],"part":[155],"recognition":[160],"system.":[161],"method":[163],"presented":[164],"this":[166],"solves":[168],"more":[170],"specialized":[171],"than":[173],"task":[175],"natural":[180],"images.":[181],"It":[182],"uses":[183],"local":[184],"features,":[185],"sliding":[187],"window":[188],"lightweight":[191],"neural":[192],"network":[193],"order":[195],"achieve":[197],"optimal":[199],"algorithm":[200,207],"speed-precision":[201],"ratio.":[202],"duration":[204],"is":[208,235],"12":[209],"ms":[210],"per":[211],"field":[212],"ARM":[216],"processor":[217],"device.":[221],"error":[223],"rate":[224],"test":[230],"sample":[231],"8000":[233],"fields":[234],"0.3":[236]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}