{"id":"https://openalex.org/W2170538643","doi":"https://doi.org/10.1109/icpr.1998.711900","title":"E-mail signature block analysis","display_name":"E-mail signature block analysis","publication_year":2002,"publication_date":"2002-11-27","ids":{"openalex":"https://openalex.org/W2170538643","doi":"https://doi.org/10.1109/icpr.1998.711900","mag":"2170538643"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.1998.711900","doi":"https://doi.org/10.1109/icpr.1998.711900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.1998.711900","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"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. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5062721754","display_name":"H. Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"H. Chen","raw_affiliation_strings":["CENPARMI, Concordia University, Montreal, QUE, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CENPARMI, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103540584","display_name":"Jianying Hu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387152956","display_name":"Alcatel-Lucent (France)","ror":"https://ror.org/024850w61","country_code":"FR","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210149358","https://openalex.org/I4387152956"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jianying Hu","raw_affiliation_strings":["Lucent Technologies Bell Laboratories, Murray Hill, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lucent Technologies Bell Laboratories, Murray Hill, NJ, USA","institution_ids":["https://openalex.org/I4387152956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063612469","display_name":"Richard Sproat","orcid":"https://orcid.org/0000-0002-9040-5196","observed_orcids":["https://orcid.org/0000-0002-9040-5196"]},"institutions":[{"id":"https://openalex.org/I4387152956","display_name":"Alcatel-Lucent (France)","ror":"https://ror.org/024850w61","country_code":"FR","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210149358","https://openalex.org/I4387152956"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R.W. Sproat","raw_affiliation_strings":["Lucent Technologies Bell Laboratories, Murray Hill, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lucent Technologies Bell Laboratories, Murray Hill, NJ, USA","institution_ids":["https://openalex.org/I4387152956"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6024,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69135431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1153","last_page":"1156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9761000275611877,"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":0.9761000275611877,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.01899999938905239,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.0003000000142492354,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/grammatical-constraints","display_name":"grammatical constraints","score":0.7620000243186951},{"id":"https://openalex.org/keywords/weighted-finite-state-transducers","display_name":"weighted finite-state transducers","score":0.9819999933242798},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"information retrieval","score":0.38600000739097595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6197819113731384},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5072986483573914},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.49585065245628357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15607184171676636},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07418829202651978},{"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":[{"id":"doi:10.1109/icpr.1998.711900","doi":"https://doi.org/10.1109/icpr.1998.711900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.1998.711900","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"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. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W98859974","https://openalex.org/W131259011","https://openalex.org/W1492715224","https://openalex.org/W1600276254","https://openalex.org/W1654022110","https://openalex.org/W1655554306","https://openalex.org/W1968215998","https://openalex.org/W1997911821","https://openalex.org/W2016783664","https://openalex.org/W2045018318","https://openalex.org/W2049387714","https://openalex.org/W2059083866","https://openalex.org/W2070663854","https://openalex.org/W2089356193","https://openalex.org/W2096196871","https://openalex.org/W2118030626","https://openalex.org/W2129663986","https://openalex.org/W2164280277","https://openalex.org/W2165588168"],"related_works":["https://openalex.org/W2089777159","https://openalex.org/W7095110959","https://openalex.org/W3195968817","https://openalex.org/W2588974410","https://openalex.org/W2391355232","https://openalex.org/W2010190925","https://openalex.org/W2093344716","https://openalex.org/W2170174202","https://openalex.org/W2091099075","https://openalex.org/W3081209489"],"abstract_inverted_index":{"The":[0,84],"signature":[1,17,54,72],"block":[2,73],"is":[3,107],"a":[4,96],"common":[5],"structured":[6],"component":[7],"found":[8],"in":[9,21,95],"e-mail":[10,31],"messages.":[11],"Accurate":[12],"identification":[13],"and":[14,25,90,103],"analysis":[15,36,74,92],"of":[16,53,59,98],"blocks":[18,55],"are":[19,93],"important":[20],"many":[22],"multimedia":[23],"messaging":[24],"information":[26,85],"retrieval":[27],"applications":[28],"such":[29],"as":[30],"text-to-speech":[32],"rendering.":[33],"Traditional":[34],"text":[35,43],"methods":[37],"designed":[38],"to":[39],"deal":[40],"with":[41,80],"sequential":[42],"cannot":[44],"handle":[45],"2D":[46,60,77],"structures,":[47],"while":[48],"the":[49,57,104,108],"highly":[50],"unconstrained":[51],"nature":[52],"makes":[56],"application":[58],"grammars":[61],"very":[62],"difficult.":[63],"In":[64],"this":[65],"paper":[66],"we":[67],"describe":[68],"an":[69],"algorithm":[70],"for":[71],"which":[75],"combines":[76],"structural":[78],"segmentation":[79],"1D":[81],"grammatical":[82],"constraints.":[83,113],"obtained":[86],"from":[87],"both":[88,112],"geometrical":[89],"linguistic":[91],"integrated":[94],"form":[97],"weighted":[99],"finite":[100],"state":[101],"transducers,":[102],"final":[105],"solution":[106],"optimal":[109],"interpretation":[110],"under":[111]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2016-06-24T00:00:00"}