{"id":"https://openalex.org/W1452859751","doi":"https://doi.org/10.4018/ijsda.2015070101","title":"An Effective Edge and Texture Based Approach towards Curved Videotext Detection and Extraction","display_name":"An Effective Edge and Texture Based Approach towards Curved Videotext Detection and Extraction","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1452859751","doi":"https://doi.org/10.4018/ijsda.2015070101","mag":"1452859751"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsda.2015070101","pdf_url":null,"source":{"id":"https://openalex.org/S4210210041","display_name":"International Journal of System Dynamics Applications","issn_l":"2160-9772","issn":["2160-9772","2160-9799"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5079748154","display_name":"P. Sudir","orcid":null},"institutions":[{"id":"https://openalex.org/I65674248","display_name":"Visvesvaraya Technological University","ror":"https://ror.org/00ha14p11","country_code":"IN","type":"education","lineage":["https://openalex.org/I65674248"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Sudir","raw_affiliation_strings":["VTU, Belgaum, India#TAB#"],"affiliations":[{"raw_affiliation_string":"VTU, Belgaum, India#TAB#","institution_ids":["https://openalex.org/I65674248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023732985","display_name":"M. Ravishankar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117535","display_name":"Cognizant (India)","ror":"https://ror.org/01x51st25","country_code":"IN","type":"company","lineage":["https://openalex.org/I163361683","https://openalex.org/I4210117535"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Ravishankar","raw_affiliation_strings":["VVIT, Mysore, India#TAB#"],"affiliations":[{"raw_affiliation_string":"VVIT, Mysore, India#TAB#","institution_ids":["https://openalex.org/I4210117535"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.431,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.560825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":73,"max":76},"biblio":{"volume":"4","issue":"3","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998,"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":0.9998,"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":0.9989,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9954,"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/centroid","display_name":"Centroid","score":0.5813328},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.57208204},{"id":"https://openalex.org/keywords/connected-component","display_name":"Connected component","score":0.49437094},{"id":"https://openalex.org/keywords/font","display_name":"Font","score":0.4608201}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.69095796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.68878084},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6166764},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5968747},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5813328},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.57801837},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.57208204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.555463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5221727},{"id":"https://openalex.org/C193435613","wikidata":"https://www.wikidata.org/wiki/Q2997928","display_name":"Connected component","level":2,"score":0.49437094},{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.4608201},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42075184},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3096533},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3038585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20165044},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13571942}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsda.2015070101","pdf_url":null,"source":{"id":"https://openalex.org/S4210210041","display_name":"International Journal of System Dynamics Applications","issn_l":"2160-9772","issn":["2160-9772","2160-9799"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.61}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":63,"referenced_works":["https://openalex.org/W142662216","https://openalex.org/W1491389626","https://openalex.org/W1502608673","https://openalex.org/W1516666697","https://openalex.org/W1592903278","https://openalex.org/W1679626703","https://openalex.org/W175034618","https://openalex.org/W1764704878","https://openalex.org/W1876262426","https://openalex.org/W1964797636","https://openalex.org/W1978854150","https://openalex.org/W1986119343","https://openalex.org/W1990025351","https://openalex.org/W1992257524","https://openalex.org/W1997061122","https://openalex.org/W1998981432","https://openalex.org/W2006653496","https://openalex.org/W2012801633","https://openalex.org/W2014286161","https://openalex.org/W2016847844","https://openalex.org/W2017962986","https://openalex.org/W2026205307","https://openalex.org/W2032272200","https://openalex.org/W2033094486","https://openalex.org/W2035165260","https://openalex.org/W2037112354","https://openalex.org/W2037429745","https://openalex.org/W2048056630","https://openalex.org/W2055295637","https://openalex.org/W2059898442","https://openalex.org/W2062500760","https://openalex.org/W2074075893","https://openalex.org/W2077839943","https://openalex.org/W2079553359","https://openalex.org/W2084465724","https://openalex.org/W2085641671","https://openalex.org/W2099063119","https://openalex.org/W2105482673","https://openalex.org/W2106331364","https://openalex.org/W2107763795","https://openalex.org/W2107996860","https://openalex.org/W2115795834","https://openalex.org/W2119200665","https://openalex.org/W2122769728","https://openalex.org/W2132692089","https://openalex.org/W2134378185","https://openalex.org/W2135377807","https://openalex.org/W2137181306","https://openalex.org/W2141376824","https://openalex.org/W2141822239","https://openalex.org/W2153182373","https://openalex.org/W2158291252","https://openalex.org/W2158610162","https://openalex.org/W2165401735","https://openalex.org/W2171121044","https://openalex.org/W2294751848","https://openalex.org/W2397184385","https://openalex.org/W2472331206","https://openalex.org/W2539633916","https://openalex.org/W3149347034","https://openalex.org/W49398809","https://openalex.org/W597066132","https://openalex.org/W776682613"],"related_works":["https://openalex.org/W3022607756","https://openalex.org/W2612325988","https://openalex.org/W2582695981","https://openalex.org/W2496907786","https://openalex.org/W2490611030","https://openalex.org/W2483185727","https://openalex.org/W2402920184","https://openalex.org/W2147687867","https://openalex.org/W2051072213","https://openalex.org/W2002071092"],"abstract_inverted_index":{"In":[0],"present":[1],"day":[2],"video":[3,7,46,132],"text":[4,20,34,47,57,71,83,119],"greatly":[5],"helps":[6],"indexing":[8],"and":[9,30,35,49,66,140,144],"retrieval":[10],"system":[11],"as":[12],"they":[13],"often":[14],"carry":[15],"significant":[16],"semantic":[17],"information.":[18],"Video":[19],"analysis":[21],"is":[22,74,92,121,138],"challenging":[23],"due":[24],"to":[25],"varying":[26],"background,":[27],"multiple":[28],"orientations":[29],"low":[31],"contrast":[32],"between":[33],"non-text":[36],"regions.":[37],"Proposed":[38],"approach":[39],"explores":[40],"a":[41],"new":[42],"framework":[43],"for":[44],"curved":[45,70,131,146],"detection":[48,73],"recognition":[50,126],"where":[51],"from":[52],"the":[53],"observation":[54],"that":[55,135],"curve":[56,105],"regions":[58],"can":[59],"be":[60],"well":[61],"defined":[62],"by":[63,76,82,85,94,103,123],"edges":[64],"size":[65],"uniform":[67],"texture,":[68],"Probable":[69],"edge":[72],"accomplished":[75],"processing":[77],"wavelet":[78],"sub":[79],"bands":[80],"followed":[81,102],"localization":[84],"utilizing":[86],"fast":[87],"texture":[88],"descriptor":[89],"LU-transform.":[90],"Binarization":[91],"achieved":[93],"maximal":[95],"H-transform.":[96],"A":[97],"Connected":[98],"Component":[99],"filtering":[100],"method":[101,137],"B-Spline":[104],"fitting":[106],"on":[107,129],"centroid":[108],"of":[109],"each":[110,114],"character":[111,125],"vertically":[112],"aligns":[113],"oriented":[115],"character.":[116],"The":[117],"aligned":[118],"string":[120],"recognized":[122],"optical":[124],"(OCR).":[127],"Experiments":[128],"various":[130],"frames":[133],"shows":[134],"proposed":[136],"efficacious":[139],"robust":[141],"in":[142],"detecting":[143],"recognizing":[145],"videotext.":[147]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1452859751","counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2024-12-15T10:02:30.125879","created_date":"2016-06-24"}