{"id":"https://openalex.org/W1973496306","doi":"https://doi.org/10.1142/s0218001413530042","title":"SKEW CORRECTION OF DOCUMENT IMAGES BY RANK ANALYSIS IN FAREY SEQUENCE","display_name":"SKEW CORRECTION OF DOCUMENT IMAGES BY RANK ANALYSIS IN FAREY SEQUENCE","publication_year":2013,"publication_date":"2013-08-11","ids":{"openalex":"https://openalex.org/W1973496306","doi":"https://doi.org/10.1142/s0218001413530042","mag":"1973496306"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001413530042","doi":"https://doi.org/10.1142/s0218001413530042","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001413530042","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5014765393","display_name":"Sanjoy Pratihar","orcid":"https://orcid.org/0000-0002-0833-6989","observed_orcids":["https://orcid.org/0000-0002-0833-6989"]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"SANJOY PRATIHAR","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079109005","display_name":"Partha Bhowmick","orcid":"https://orcid.org/0000-0003-2765-7777","observed_orcids":["https://orcid.org/0000-0003-2765-7777"]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"PARTHA BHOWMICK","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036571304","display_name":"Shamik Sural","orcid":"https://orcid.org/0000-0002-4315-7329","observed_orcids":["https://orcid.org/0000-0002-4315-7329"]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"SHAMIK SURAL","raw_affiliation_strings":["School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037492743","display_name":"Jayanta Mukhopadhyay","orcid":"https://orcid.org/0000-0002-2491-6860","observed_orcids":["https://orcid.org/0000-0002-2491-6860"]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"JAYANTA MUKHOPADHYAY","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.9601,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78318869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"27","issue":"07","first_page":"1353004","last_page":"1353004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":1.0,"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":1.0,"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":0.0,"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":0.0,"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/skew-correction","display_name":"skew correction","score":0.8870000243186951},{"id":"https://openalex.org/keywords/document-image-preprocessing","display_name":"document preprocessing","score":0.7149999737739563},{"id":"https://openalex.org/keywords/farey-sequence","display_name":"Farey sequence","score":0.9670000076293945},{"id":"https://openalex.org/keywords/rank-analysis","display_name":"rank analysis","score":0.9580000042915344},{"id":"https://openalex.org/keywords/skew-estimation","display_name":"skew estimation","score":0.7559999823570251},{"id":"https://openalex.org/keywords/edge-maps","display_name":"edge maps","score":0.7910000085830688},{"id":"https://openalex.org/keywords/devnagari-script","display_name":"Devnagari script","score":0.8859999775886536},{"id":"https://openalex.org/keywords/bengali-script","display_name":"Bangla script","score":0.9990000128746033},{"id":"https://openalex.org/keywords/indic-scripts","display_name":"Indic scripts","score":0.6549999713897705}],"concepts":[{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.642723798751831},{"id":"https://openalex.org/C93157843","wikidata":"https://www.wikidata.org/wiki/Q1396592","display_name":"Farey sequence","level":2,"score":0.6282347440719604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544222354888916},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5304073095321655},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5296076536178589},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4992225170135498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48562708497047424},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45071327686309814},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.44775623083114624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42168182134628296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33726558089256287},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.18912163376808167},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001413530042","doi":"https://doi.org/10.1142/s0218001413530042","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001413530042","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1965620669","https://openalex.org/W1969168333","https://openalex.org/W1975942290","https://openalex.org/W1979900189","https://openalex.org/W1993636010","https://openalex.org/W1999862342","https://openalex.org/W2000375166","https://openalex.org/W2001968227","https://openalex.org/W2003285729","https://openalex.org/W2006853737","https://openalex.org/W2033029582","https://openalex.org/W2034395398","https://openalex.org/W2042652446","https://openalex.org/W2078058132","https://openalex.org/W2078809407","https://openalex.org/W2079928213","https://openalex.org/W2084884002","https://openalex.org/W2091202516","https://openalex.org/W2094002487","https://openalex.org/W2107918262","https://openalex.org/W2128060444","https://openalex.org/W2145079795","https://openalex.org/W2149031505","https://openalex.org/W2151770524","https://openalex.org/W2167284391","https://openalex.org/W4206519171","https://openalex.org/W4212875219","https://openalex.org/W4242671934"],"related_works":["https://openalex.org/W1973996612","https://openalex.org/W2006853737","https://openalex.org/W2390687341","https://openalex.org/W2168934304","https://openalex.org/W2021577806","https://openalex.org/W2384590889","https://openalex.org/W2360905602","https://openalex.org/W2116710847","https://openalex.org/W4321506465","https://openalex.org/W2393570105"],"abstract_inverted_index":{"Skew":[0],"correction":[1],"of":[2,58,69,98,109,130,142,153,168],"a":[3,19,127,150],"scanned":[4],"document":[5,13,35,60,154],"page":[6,61],"is":[7,117,123],"an":[8],"important":[9],"preprocessing":[10],"step":[11],"in":[12,30,75,83,166,175],"image":[14],"analysis.":[15],"We":[16],"propose":[17],"here":[18],"fast":[20,120],"and":[21,46,158,180],"robust":[22],"skew":[23,115,136],"estimation":[24],"algorithm":[25,66,122,145],"based":[26],"on":[27,149],"rank":[28],"analysis":[29],"Farey":[31,81,131],"sequence.":[32],"Our":[33],"target":[34],"class":[36],"comprises":[37],"two":[38],"major":[39],"Indian":[40],"scripts":[41],"with":[42,85,126,177],"headlines,":[43,110],"namely":[44],"Devnagari":[45,159],"Bangla.":[47],"At":[48],"the":[49,55,59,96,103,107,113,135,139],"beginning,":[50],"straight":[51],"edge":[52,56,100],"segments":[53],"from":[54,92,111],"map":[57],"are":[62,78,163],"detected":[63],"by":[64,80],"our":[65],"using":[67,95],"properties":[68],"digital":[70],"straightness.":[71],"Straight":[72],"edges":[73],"derived":[74],"this":[76],"manner":[77],"binned":[79],"ranks":[82],"correspondence":[84],"their":[86],"slopes.":[87],"The":[88,144],"principal":[89,104],"bin,":[90],"identified":[91],"these":[93],"bins":[94],"strength":[97],"accumulated":[99],"points,":[101],"represents":[102],"direction":[105,108],"along":[106],"which":[112],"gross":[114],"angle":[116],"estimated.":[118],"A":[119],"refinement":[121],"then":[124],"applied":[125],"finer":[128],"tuning":[129],"ranks,":[132],"to":[133,138,171],"detect":[134],"up":[137],"desired":[140],"level":[141],"precision.":[143],"has":[146],"been":[147],"tested":[148],"diverse":[151],"set":[152],"images,":[155],"containing":[156],"Bangla":[157],"scripts.":[160],"Experimental":[161],"results":[162],"quite":[164],"encouraging":[165],"terms":[167],"accuracy,":[169],"sensitivity":[170],"non-textual":[172],"objects,":[173],"effectiveness":[174],"dealing":[176],"unrestricted":[178],"layouts,":[179],"computational":[181],"efficiency.":[182]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}