{"id":"https://openalex.org/W2126188119","doi":"https://doi.org/10.1109/icdar.2015.7333755","title":"A direct approach for word and character segmentation in run-length compressed documents with an application to word spotting","display_name":"A direct approach for word and character segmentation in run-length compressed documents with an application to word spotting","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2126188119","doi":"https://doi.org/10.1109/icdar.2015.7333755","mag":"2126188119"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2015.7333755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2015.7333755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 13th International Conference on Document Analysis and Recognition (ICDAR)","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/A5020843630","display_name":"Mohammed Javed","orcid":"https://orcid.org/0000-0002-3019-7401"},"institutions":[{"id":"https://openalex.org/I204743663","display_name":"University of Mysore","ror":"https://ror.org/012bxv356","country_code":"IN","type":"education","lineage":["https://openalex.org/I204743663"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mohammed Javed","raw_affiliation_strings":["Department of Studies in Computer Science, University of Mysore, Mysore, India","Department of Studies in Computer Science, University of Mysore, 570006, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Studies in Computer Science, University of Mysore, Mysore, India","institution_ids":["https://openalex.org/I204743663"]},{"raw_affiliation_string":"Department of Studies in Computer Science, University of Mysore, 570006, India#TAB#","institution_ids":["https://openalex.org/I204743663"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076548037","display_name":"P. Nagabhushan","orcid":"https://orcid.org/0000-0002-4638-5482"},"institutions":[{"id":"https://openalex.org/I204743663","display_name":"University of Mysore","ror":"https://ror.org/012bxv356","country_code":"IN","type":"education","lineage":["https://openalex.org/I204743663"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Nagabhushan","raw_affiliation_strings":["Department of Studies in Computer Science, University of Mysore, Mysore, India","Department of Studies in Computer Science, University of Mysore, 570006, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Studies in Computer Science, University of Mysore, Mysore, India","institution_ids":["https://openalex.org/I204743663"]},{"raw_affiliation_string":"Department of Studies in Computer Science, University of Mysore, 570006, India#TAB#","institution_ids":["https://openalex.org/I204743663"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025093894","display_name":"B.B. Chaudhuri","orcid":"https://orcid.org/0000-0003-0297-8929"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B.B. Chaudhuri","raw_affiliation_strings":["Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India","Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata - 700108, India"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata - 700108, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020843630"],"corresponding_institution_ids":["https://openalex.org/I204743663"],"apc_list":null,"apc_paid":null,"fwci":0.9359,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.82568506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"216","last_page":"220"},"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/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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.7850048542022705},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.7741334438323975},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6652105450630188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6346032619476318},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6280086636543274},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6218060255050659},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5471422672271729},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.5409454107284546},{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.5338308215141296},{"id":"https://openalex.org/keywords/word-processing","display_name":"Word processing","score":0.46270468831062317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4527875781059265},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.44256967306137085},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3926112949848175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12512892484664917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12095528841018677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7850048542022705},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.7741334438323975},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6652105450630188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6346032619476318},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6280086636543274},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6218060255050659},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5471422672271729},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.5409454107284546},{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.5338308215141296},{"id":"https://openalex.org/C2983335612","wikidata":"https://www.wikidata.org/wiki/Q54277","display_name":"Word processing","level":2,"score":0.46270468831062317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4527875781059265},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.44256967306137085},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3926112949848175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12512892484664917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12095528841018677},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdar.2015.7333755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2015.7333755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 13th International Conference on Document Analysis and Recognition (ICDAR)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.uni-mysore.ac.in:11356","is_oa":false,"landing_page_url":"http://eprints.uni-mysore.ac.in/11356/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400737","display_name":"MyPrints@UOM (Mysore University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204743663","host_organization_name":"University of Mysore","host_organization_lineage":["https://openalex.org/I204743663"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1238037025","https://openalex.org/W1620833456","https://openalex.org/W1893142844","https://openalex.org/W1963809923","https://openalex.org/W1964131917","https://openalex.org/W1982907973","https://openalex.org/W1991309360","https://openalex.org/W1996226495","https://openalex.org/W2044361373","https://openalex.org/W2046333072","https://openalex.org/W2072393922","https://openalex.org/W2076292074","https://openalex.org/W2082850008","https://openalex.org/W2155348134","https://openalex.org/W2169825950","https://openalex.org/W2171026673","https://openalex.org/W3098194084","https://openalex.org/W3098821875","https://openalex.org/W3099916806","https://openalex.org/W3104441993","https://openalex.org/W6639475752","https://openalex.org/W6683333218"],"related_works":["https://openalex.org/W2951061418","https://openalex.org/W2804033347","https://openalex.org/W2987132851","https://openalex.org/W2340548600","https://openalex.org/W2137084580","https://openalex.org/W2558691054","https://openalex.org/W2029861656","https://openalex.org/W3147233385","https://openalex.org/W2067599484","https://openalex.org/W61106341"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,91,110,134,154,178,193],"a":[2,52,98],"text":[3,55,63,93,130,174],"document":[4],"into":[5,76],"lines,":[6,175],"words":[7,77,157],"and":[8,18,31,41,78,137,158,176,180,185],"characters":[9,79],"is":[10,67,80,104,140,169,196],"an":[11,191],"important":[12],"objective":[13],"in":[14,22,36,58,106,127],"application":[15,192],"like":[16],"OCR":[17],"related":[19],"analytics.":[20],"However":[21],"today's":[23],"scenario,":[24],"the":[25,49,70,84,88,92,96,107,111,116,120,124,128,132,144,151,155],"documents":[26,38],"are":[27,164,188],"compressed":[28,37,162,173],"for":[29,54,183],"archival":[30],"transmission":[32],"efficiency.":[33],"Text":[34],"segmentation":[35,56,66,75,187],"warrants":[39],"decompression,":[40],"needs":[42],"additional":[43],"computing":[44,143],"resources.":[45],"In":[46],"this":[47],"backdrop,":[48],"paper":[50],"proposes":[51],"method":[53],"directly":[57],"run-length":[59],"compressed,":[60],"printed":[61],"English":[62],"documents.":[64],"Line":[65],"done":[68],"using":[69],"projection":[71],"profile":[72],"technique.":[73],"Further":[74],"accomplished":[81],"by":[82,142],"tracing":[83],"white":[85,112],"runs":[86,113],"along":[87],"base":[89],"region":[90,101],"line.":[94],"During":[95],"process,":[97],"run":[99],"based":[100,149],"growing":[102],"technique":[103],"applied":[105],"spatial":[108,152],"neighborhood":[109],"to":[114],"trace":[115],"vertical":[117],"space":[118,136,139],"between":[119],"characters.":[121],"After":[122],"detecting":[123],"character":[125,138,146,186],"spaces":[126],"entire":[129],"line,":[131],"decision":[133],"word":[135,184,194],"made":[141],"average":[145],"space.":[147],"Subsequently":[148],"on":[150],"position":[153],"detected":[156],"characters,":[159],"their":[160],"respective":[161],"segments":[163],"extracted.":[165],"The":[166],"proposed":[167],"algorithm":[168],"tested":[170],"with":[171],"1083":[172],"F-measure":[177],"97.93%":[179],"92.86%":[181],"respectively":[182],"obtained.":[189],"Finally":[190],"spotting":[195],"also":[197],"presented.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}
