{"id":"https://openalex.org/W2811186327","doi":"https://doi.org/10.1109/rait.2018.8389021","title":"An improved scene text and document image binarization scheme","display_name":"An improved scene text and document image binarization scheme","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2811186327","doi":"https://doi.org/10.1109/rait.2018.8389021","mag":"2811186327"},"language":"en","primary_location":{"id":"doi:10.1109/rait.2018.8389021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2018.8389021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","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/A5056945370","display_name":"Ranjit Ghoshal","orcid":"https://orcid.org/0000-0002-0950-8527"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ranjit Ghoshal","raw_affiliation_strings":["St. Thomas' College of Engg. & Tech., Kolkata, India"],"affiliations":[{"raw_affiliation_string":"St. Thomas' College of Engg. & Tech., Kolkata, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103134638","display_name":"Ayan Banerjee","orcid":"https://orcid.org/0000-0002-0269-2202"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ayan Banerjee","raw_affiliation_strings":["Lexmark Research & Development Corporation, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Lexmark Research & Development Corporation, Kolkata, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056945370"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7312,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7640355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9975000023841858,"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":0.9975000023841858,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8096228837966919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7782571911811829},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6619687676429749},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5442337393760681},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5011632442474365},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4898647964000702},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.467303991317749},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4364761412143707},{"id":"https://openalex.org/keywords/document-image-processing","display_name":"Document image processing","score":0.43200865387916565},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43155354261398315},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.42493370175361633},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42078065872192383},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.33877408504486084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11641693115234375}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8096228837966919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782571911811829},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6619687676429749},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5442337393760681},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5011632442474365},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4898647964000702},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.467303991317749},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4364761412143707},{"id":"https://openalex.org/C2988504005","wikidata":"https://www.wikidata.org/wiki/Q379942","display_name":"Document image processing","level":4,"score":0.43200865387916565},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43155354261398315},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.42493370175361633},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42078065872192383},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.33877408504486084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11641693115234375},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rait.2018.8389021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2018.8389021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1600276254","https://openalex.org/W1998042868","https://openalex.org/W2128060444","https://openalex.org/W2131447359","https://openalex.org/W2133059825","https://openalex.org/W2142866846","https://openalex.org/W2145023731","https://openalex.org/W2156508493","https://openalex.org/W2156605212","https://openalex.org/W2159872370","https://openalex.org/W2170472910","https://openalex.org/W6649973027","https://openalex.org/W6679524940"],"related_works":["https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W2056407677","https://openalex.org/W4293054829","https://openalex.org/W2128085731","https://openalex.org/W2551441443","https://openalex.org/W2388577840"],"abstract_inverted_index":{"Identification":[0],"of":[1,148],"text":[2,25,31,41,50,68,74],"portions":[3],"have":[4,132],"a":[5,62],"crucial":[6],"impact":[7],"on":[8,77,102,145],"intelligent":[9],"transport":[10],"systems,":[11],"document":[12],"image":[13,19,34,42,69,109],"processing,":[14],"robotics":[15],"and":[16,53,79,139,166],"content":[17],"based":[18,32,76,101],"retrieval":[20],"systems.":[21],"So,":[22],"an":[23,45,96],"accurate":[24],"identification":[26,51],"method":[27,119],"is":[28,99],"necessary":[29],"for":[30],"scene":[33,67,130],"processing":[35],"tasks":[36],"such":[37],"as":[38],"OCR.":[39],"Scene":[40],"binarization":[43,70,116],"plays":[44],"important":[46],"role":[47],"in":[48,55,125],"any":[49],"algorithm":[52],"hence":[54],"the":[56,73,91,108,128,146],"OCR":[57],"performance.":[58],"In":[59],"this":[60],"work":[61],"novel":[63],"approach":[64],"to":[65,89,106,112],"natural":[66,129],"by":[71],"tracking":[72],"boundary":[75,93,103],"edge":[78,104],"gray":[80],"level":[81],"variance":[82],"information.":[83],"Further,":[84],"broken":[85],"boundaries":[86],"are":[87,143,175],"linked":[88],"construct":[90],"complete":[92],"map.":[94],"Here,":[95],"adaptive":[97],"threshold":[98],"determined":[100],"information":[105],"binarize":[107],"effectively.":[110],"Compared":[111],"other":[113],"well":[114],"known":[115],"methods,":[117],"our":[118,167],"has":[120],"been":[121],"proved":[122],"more":[123],"effective":[124],"cases":[126],"where":[127],"images":[131],"low":[133,135],"contrast,":[134],"resolution,":[136],"non-uniform":[137],"illumination":[138],"noise.":[140],"Our":[141],"experiments":[142],"conducted":[144],"datasets":[147],"ICDAR":[149,154],"2003":[150],"Robust":[151],"Reading":[152],"Competition,":[153],"2011":[155],"Born":[156],"Digital":[157],"Dataset,":[158,163],"Street":[159],"View":[160],"Text":[161],"(SVT)":[162],"DIBCO":[164],"dataset":[165],"laboratory":[168],"made":[169],"Bangla":[170],"Dataset.":[171],"The":[172],"experimental":[173],"results":[174],"satisfactory.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
