{"id":"https://openalex.org/W2112677890","doi":"https://doi.org/10.1002/scj.4690180410","title":"A method of document\u2010image segmentation based on projection profiles, stroke densities and circumscribed rectangles","display_name":"A method of document\u2010image segmentation based on projection profiles, stroke densities and circumscribed rectangles","publication_year":1987,"publication_date":"1987-01-01","ids":{"openalex":"https://openalex.org/W2112677890","doi":"https://doi.org/10.1002/scj.4690180410","mag":"2112677890"},"language":"en","primary_location":{"id":"doi:10.1002/scj.4690180410","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690180410","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-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/A5014440455","display_name":"Teruo Akiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Teruo Akiyama","raw_affiliation_strings":["NTT Electrical Communications Laboratories, Musashino, Japan 180"],"affiliations":[{"raw_affiliation_string":"NTT Electrical Communications Laboratories, Musashino, Japan 180","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000021736","display_name":"I. Masuda","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Isao Masuda","raw_affiliation_strings":["NTT Electrical Communications Laboratories, Musashino, Japan 180"],"affiliations":[{"raw_affiliation_string":"NTT Electrical Communications Laboratories, Musashino, Japan 180","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014440455"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.23778754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":"4","first_page":"101","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9837999939918518,"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":0.9837999939918518,"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":0.9728000164031982,"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":0.9423999786376953,"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/headline","display_name":"Headline","score":0.8733092546463013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156679630279541},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6898117065429688},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6361908912658691},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6310089230537415},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5239246487617493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4936583936214447},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.43618038296699524},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40798673033714294},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3783590495586395},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.364249587059021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3560134172439575},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2151046097278595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15237149596214294},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09819671511650085},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0974850058555603}],"concepts":[{"id":"https://openalex.org/C2778689934","wikidata":"https://www.wikidata.org/wiki/Q1313396","display_name":"Headline","level":2,"score":0.8733092546463013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156679630279541},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6898117065429688},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6361908912658691},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6310089230537415},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5239246487617493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4936583936214447},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.43618038296699524},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40798673033714294},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3783590495586395},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.364249587059021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3560134172439575},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2151046097278595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15237149596214294},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09819671511650085},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0974850058555603},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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:10.1002/scj.4690180410","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690180410","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1969619682","https://openalex.org/W2015432638","https://openalex.org/W2035894683","https://openalex.org/W2056387502","https://openalex.org/W2523143222","https://openalex.org/W4285719527","https://openalex.org/W6664908781"],"related_works":["https://openalex.org/W2592395359","https://openalex.org/W2045342254","https://openalex.org/W2535231171","https://openalex.org/W1501331687","https://openalex.org/W4255512592","https://openalex.org/W2501551404","https://openalex.org/W2326647871","https://openalex.org/W4205247302","https://openalex.org/W2468652214","https://openalex.org/W1504527458"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"method":[2,85,102,152],"is":[3,153,170],"proposed":[4],"wherein":[5],"printed":[6,109],"documents":[7,110],"are":[8,30,63],"segmented":[9,145],"into":[10],"the":[11,23,36,39,43,53,57,66,78,122,130,141,173],"following":[12],"three":[13],"areas:":[14],"headline":[15,27,125],"area,":[16,18,80,126,134],"textline":[17,29,79,133],"and":[19,28,49,52,107,114,135,159],"attached":[20,142],"area.":[21],"Then":[22],"character":[24,74],"lines":[25,116],"constituting":[26],"extracted.":[31],"This":[32],"paper":[33],"describes:":[34],"1)":[35],"combination":[37],"of":[38,42,56,69,100,111,121,129,138,164,167],"global":[40],"features":[41,55,68],"document":[44,58,70,91,157,168],"such":[45,59,72],"as":[46,60,73],"projection":[47],"profiles":[48],"stroke":[50],"densities,":[51],"local":[54],"circumscribed":[61],"rectangles":[62],"used;":[64],"2)":[65],"basic":[67],"elements":[71,92],"line":[75],"periodicity":[76],"in":[77,93,124,132,140,155,172],"so":[81],"that":[82,118,150],"a":[83,162],"single":[84],"can":[86],"be":[87],"applied":[88,103],"to":[89,104,161],"segment":[90],"differently":[94],"formatted":[95],"documents.":[96,165],"An":[97],"experimental":[98],"result":[99,148],"this":[101,151],"eight":[105],"Japanese":[106],"English":[108],"both":[112],"horizontal":[113],"vertical":[115],"showed":[117],"98.4":[119],"percent":[120,128,137],"headlines":[123],"99.9":[127],"textlines":[131],"83.3":[136],"diagrams":[139],"area":[143],"were":[144],"successfully.":[146],"The":[147],"confirms":[149],"effective":[154],"segmenting":[156],"elements,":[158],"applicable":[160],"variety":[163],"Part":[166],"processing":[169],"implemented":[171],"experiment":[174],"by":[175],"special":[176],"hardware":[177],"for":[178],"speed.":[179]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}