乐胖代购免代理版

{"id":"https://openalex.org/W2109278336","doi":"https://doi.org/10.1109/tai.1991.167046","title":"Text processing: robust character recognition using calibrated text and diversified feature set","display_name":"Text processing: robust character recognition using calibrated text and diversified feature set","publication_year":2002,"publication_date":"2002-12-10","ids":{"openalex":"https://openalex.org/W2109278336","doi":"https://doi.org/10.1109/tai.1991.167046","mag":"2109278336"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.1991.167046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5064492829","display_name":"D.C. Douglas Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.C.D. Hung","raw_affiliation_strings":["[Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA]"],"affiliations":[{"raw_affiliation_string":"[Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA]","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005638764","display_name":"Ye Chen","orcid":"https://orcid.org/0000-0002-1355-0277"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Chen","raw_affiliation_strings":["[Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA]"],"affiliations":[{"raw_affiliation_string":"[Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA]","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057348933","display_name":"R. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Chen","raw_affiliation_strings":["[Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA]"],"affiliations":[{"raw_affiliation_string":"[Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA]","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000454484","display_name":"Tsuhan Chen","orcid":"https://orcid.org/0000-0003-3951-7931"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Cheng","raw_affiliation_strings":["[Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA]"],"affiliations":[{"raw_affiliation_string":"[Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA]","institution_ids":["https://openalex.org/I118118575"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":57},"biblio":{"volume":null,"issue":null,"first_page":"528","last_page":"529"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9998,"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"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9998,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.994,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9914,"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/feature","display_name":"Feature (linguistics)","score":0.536385},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.43960285},{"id":"https://openalex.org/keywords/document-processing","display_name":"Document processing","score":0.41775066}],"concepts":[{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.80398333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7191107},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.71672034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6306229},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5733068},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5553236},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.536385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.52376145},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49269965},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.43960285},{"id":"https://openalex.org/C67905146","wikidata":"https://www.wikidata.org/wiki/Q5287646","display_name":"Document processing","level":2,"score":0.41775066},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41445395},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.413609},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25898635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12483752},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.064994305},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.061123848},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.1991.167046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.41}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":5,"referenced_works":["https://openalex.org/W2038658268","https://openalex.org/W2084058241","https://openalex.org/W2105594594","https://openalex.org/W2159466386","https://openalex.org/W2172248551"],"related_works":["https://openalex.org/W4385079034","https://openalex.org/W4383988422","https://openalex.org/W4383748232","https://openalex.org/W4312612713","https://openalex.org/W2964911286","https://openalex.org/W2902204561","https://openalex.org/W2386858327","https://openalex.org/W2218402054","https://openalex.org/W2085262576","https://openalex.org/W1762168263"],"abstract_inverted_index":{"An":[0,62],"effective":[1],"algorithm":[2],"for":[3,9],"a":[4],"high-performance":[5],"character":[6,39],"recognition":[7,26,77],"system":[8,15,71],"printed":[10],"text":[11],"is":[12,30,43,60,72],"presented.":[13],"The":[14,28],"investigates":[16],"characters":[17],"with":[18],"different":[19],"aspects":[20],"of":[21,65,68,79],"the":[22,54,69],"characteristics":[23],"to":[24,47,52],"optimize":[25],"performance.":[27],"research":[29],"implemented":[31],"by":[32],"two":[33],"major":[34],"phases:":[35],"pattern":[36,59],"learning":[37],"and":[38],"matching.":[40],"Therefore,":[41],"it":[42],"not":[44],"only":[45],"possible":[46],"recognize":[48],"characters,":[49],"but":[50],"also":[51],"update":[53],"database":[55],"if":[56],"any":[57],"new":[58],"detected.":[61],"initial":[63],"implementation":[64],"all":[66],"parts":[67],"proposed":[70],"reported,":[73],"showing":[74],"an":[75],"overall":[76],"rate":[78],"99.9%.<":[80],">":[83]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2109278336","counts_by_year":[],"updated_date":"2025-01-03T05:39:32.863467","created_date":"2016-06-24"}