{"id":"https://openalex.org/W4235632697","doi":"https://doi.org/10.1109/icpr.2004.1334315","title":"Address-block extraction by Bayesian rule","display_name":"Address-block extraction by Bayesian rule","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4235632697","doi":"https://doi.org/10.1109/icpr.2004.1334315"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334315","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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/A5022860905","display_name":"T. Kagehiro","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Kagehiro","raw_affiliation_strings":["Central Research Laboratory, Hitachi and Limited, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, Hitachi and Limited, Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021349697","display_name":"M. Koga","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Koga","raw_affiliation_strings":["Central Research Laboratory, Hitachi and Limited, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, Hitachi and Limited, Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044229278","display_name":"H. Sako","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Sako","raw_affiliation_strings":["Central Research Laboratory, Hitachi and Limited, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, Hitachi and Limited, Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015281717","display_name":"Hiromichi Fujisawa","orcid":"https://orcid.org/0000-0001-7626-4836"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Fujisawa","raw_affiliation_strings":["Central Research Laboratory, Hitachi and Limited, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, Hitachi and Limited, Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022860905"],"corresponding_institution_ids":["https://openalex.org/I65143321"],"apc_list":null,"apc_paid":null,"fwci":0.2747,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58645968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"582","last_page":"585 Vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9886000156402588,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9886000156402588,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9767000079154968,"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/block","display_name":"Block (permutation group theory)","score":0.755738377571106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7552578449249268},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5467679500579834},{"id":"https://openalex.org/keywords/nomination","display_name":"Nomination","score":0.5257930159568787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4968307316303253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4758032262325287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45122164487838745},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3259960412979126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13674503564834595}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.755738377571106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7552578449249268},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5467679500579834},{"id":"https://openalex.org/C2775925287","wikidata":"https://www.wikidata.org/wiki/Q1156895","display_name":"Nomination","level":2,"score":0.5257930159568787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4968307316303253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4758032262325287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45122164487838745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3259960412979126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13674503564834595},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334315","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":6,"referenced_works":["https://openalex.org/W1603285767","https://openalex.org/W1918913118","https://openalex.org/W2073120894","https://openalex.org/W2147225671","https://openalex.org/W2171881344","https://openalex.org/W6635938547"],"related_works":["https://openalex.org/W2188218529","https://openalex.org/W568393259","https://openalex.org/W2359358758","https://openalex.org/W4390906083","https://openalex.org/W2358624430","https://openalex.org/W2342887934","https://openalex.org/W2089496864","https://openalex.org/W4231346463","https://openalex.org/W2780799387","https://openalex.org/W4206026914"],"abstract_inverted_index":{"A":[0],"method":[1,15,44,56],"for":[2],"extracting":[3],"a":[4,8],"recipient":[5],"address-block":[6,23,39,75],"from":[7],"mail":[9],"image":[10],"has":[11],"been":[12],"developed.":[13],"The":[14,52],"is":[16],"composed":[17],"of":[18,22,27,38,50,54,78,81,87],"two":[19],"steps:":[20],"nomination":[21],"candidates":[24,29],"and":[25,84],"evaluation":[26],"these":[28],"by":[30],"using":[31],"the":[32,42,55,68],"Bayesian":[33],"rule":[34],"according":[35],"to":[36],"each":[37],"type.":[40],"Accordingly,":[41],"proposed":[43],"can":[45],"cope":[46],"with":[47],"various":[48],"types":[49],"address-blocks.":[51],"effectiveness":[53],"was":[57],"confirmed":[58],"in":[59,76,86],"several":[60],"address":[61],"extraction":[62,70],"experiments.":[63],"These":[64],"experiments":[65],"show":[66],"that":[67],"top-five":[69],"results":[71],"include":[72],"one":[73],"correct":[74],"94%":[77],"total":[79],"number":[80],"printed-mail":[82],"cases":[83],"89%":[85],"handwritten-mail":[88],"cases.":[89]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
