{"id":"https://openalex.org/W2095998960","doi":"https://doi.org/10.1109/icassp.1982.1171522","title":"A structural method of pattern recognition and its application to on line recognition of Chinese ideographs","display_name":"A structural method of pattern recognition and its application to on line recognition of Chinese ideographs","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2095998960","doi":"https://doi.org/10.1109/icassp.1982.1171522","mag":"2095998960"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1982.1171522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5090049781","display_name":"S. Castan","orcid":null},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"S. Castan","raw_affiliation_strings":["Laboratoire C.E.R.F.I.A., Universit\u00e9 Paul Sabatier, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire C.E.R.F.I.A., Universit\u00e9 Paul Sabatier, Toulouse, France","institution_ids":["https://openalex.org/I134560555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035766382","display_name":"Jie Shen","orcid":"https://orcid.org/0000-0002-2550-0066"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Shen","raw_affiliation_strings":["Laboratoire C.E.R.F.I.A., Universit\u00e9 Paul Sabatier, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire C.E.R.F.I.A., Universit\u00e9 Paul Sabatier, Toulouse, France","institution_ids":["https://openalex.org/I134560555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090049781"],"corresponding_institution_ids":["https://openalex.org/I134560555"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15553843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"846","last_page":"849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9621000289916992,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9621000289916992,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9607999920845032,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9448999762535095,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6811507940292358},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5951196551322937},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5771602392196655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5599772930145264},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5264369249343872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5255809426307678},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5022501945495605},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49810361862182617},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.44636815786361694},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.433404803276062},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3514408469200134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17065656185150146},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16861632466316223},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10481423139572144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811507940292358},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5951196551322937},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5771602392196655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5599772930145264},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5264369249343872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5255809426307678},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5022501945495605},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49810361862182617},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.44636815786361694},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.433404803276062},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3514408469200134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17065656185150146},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16861632466316223},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10481423139572144},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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:10.1109/icassp.1982.1171522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2052668768","https://openalex.org/W2061681083"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2256933480","https://openalex.org/W2370081953","https://openalex.org/W4298772817","https://openalex.org/W1482245921","https://openalex.org/W2426618597"],"abstract_inverted_index":{"In":[0,66],"structural":[1],"pattern":[2],"recognition,":[3],"the":[4,14,40,43,46,49,60,63,73,101],"errors":[5,53],"in":[6,54],"primitive":[7,55],"recognition":[8,15,56,64,76],"have":[9],"an":[10],"important":[11],"effect":[12],"on":[13,74,97],"rate":[16],"of":[17,48,62,77,86],"object.":[18],"This":[19],"paper":[20],"proposes":[21],"a":[22,31,81,98],"method":[23,71,82],"using":[24],"models":[25],"with":[26],"fuzzy":[27],"primitives.":[28],"It":[29],"provides":[30],"simple":[32],"and":[33,45,57],"effective":[34],"approach":[35],"which":[36],"can,":[37],"by":[38],"utilizing":[39],"knowledge":[41],"about":[42],"universe":[44],"context":[47],"primitives,":[50],"correct":[51],"possible":[52],"therefore":[58],"improve":[59],"ability":[61],"system.":[65],"order":[67],"to":[68,72],"apply":[69],"this":[70],"line":[75],"handwritten":[78],"chinese":[79,105],"ideographs,":[80],"for":[83,103],"feature":[84],"extraction":[85],"graphisms,":[87],"i.e.":[88],"MLG":[89],"method,":[90],"is":[91,95],"developed.":[92],"Our":[93],"system":[94],"implemented":[96],"micro-computer":[99],"Apple-II,":[100],"experiments":[102],"200":[104],"ideographs":[106],"give":[107],"satisfactory":[108],"results.":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
