{"id":"https://openalex.org/W2112913251","doi":"https://doi.org/10.1109/icdar.2015.7333885","title":"Date field extraction from handwritten documents using HMMs","display_name":"Date field extraction from handwritten documents using HMMs","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2112913251","doi":"https://doi.org/10.1109/icdar.2015.7333885","mag":"2112913251"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2015.7333885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2015.7333885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 13th International Conference on Document Analysis and Recognition (ICDAR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10072/340497","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061144388","display_name":"Ranju Mandal","orcid":"https://orcid.org/0000-0002-3669-2446"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ranju Mandal","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Queensland, Australia","School of Information and Communication technology, Griffith University, Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Information and Communication technology, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036208317","display_name":"Partha Pratim Roy","orcid":"https://orcid.org/0000-0002-5735-5254"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Pratim Roy","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Indian Institute of Technology, Roorkee, India","Dept. of Computer Science & Engineering, Indian Institute of Technology, Roorkee, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Indian Institute of Technology, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Indian Institute of Technology, Roorkee, India#TAB#","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091666366","display_name":"Umapada Palz","orcid":null},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Umapada Palz","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, West Bengal, IN","Computer Vision and Pattern Recognition Unit, Indian Statistical Institute , Kolkata , India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, West Bengal, IN","institution_ids":[]},{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute , Kolkata , India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045600512","display_name":"Michael Blumenstein","orcid":"https://orcid.org/0000-0002-9908-3744"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Blumenstein","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Queensland, Australia","School of Information and Communication technology, Griffith University, Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Information and Communication technology, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061144388"],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08149823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"866","last_page":"870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9962999820709229,"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":0.9779999852180481,"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/computer-science","display_name":"Computer science","score":0.8234414458274841},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7541349530220032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.686978816986084},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5360463261604309},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5339134335517883},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5048618912696838},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5020983219146729},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.4967520833015442},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49350035190582275},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.49323147535324097},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.4847095012664795},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47046053409576416},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4592132568359375},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4492548406124115},{"id":"https://openalex.org/keywords/punctuation","display_name":"Punctuation","score":0.424821138381958},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.19301247596740723},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08930960297584534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8234414458274841},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7541349530220032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.686978816986084},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5360463261604309},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5339134335517883},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5048618912696838},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5020983219146729},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4967520833015442},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49350035190582275},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49323147535324097},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.4847095012664795},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47046053409576416},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4592132568359375},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4492548406124115},{"id":"https://openalex.org/C540372491","wikidata":"https://www.wikidata.org/wiki/Q82622","display_name":"Punctuation","level":2,"score":0.424821138381958},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.19301247596740723},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08930960297584534},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdar.2015.7333885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2015.7333885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 13th International Conference on Document Analysis and Recognition (ICDAR)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/340497","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/340497","pdf_url":"http://hdl.handle.net/10072/340497","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/340497","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/340497","pdf_url":"http://hdl.handle.net/10072/340497","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2112913251.pdf","grobid_xml":"https://content.openalex.org/works/W2112913251.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W165254698","https://openalex.org/W943204654","https://openalex.org/W1576971560","https://openalex.org/W1590001148","https://openalex.org/W1970187071","https://openalex.org/W1994874223","https://openalex.org/W2016648380","https://openalex.org/W2037429745","https://openalex.org/W2053091068","https://openalex.org/W2054152322","https://openalex.org/W2062755747","https://openalex.org/W2106986062","https://openalex.org/W2111089214","https://openalex.org/W2114662620","https://openalex.org/W2118629817","https://openalex.org/W2152928267","https://openalex.org/W2153665177","https://openalex.org/W2156909104","https://openalex.org/W2161969291","https://openalex.org/W6606779962","https://openalex.org/W6634649467","https://openalex.org/W6635466924","https://openalex.org/W6676752145"],"related_works":["https://openalex.org/W2936002343","https://openalex.org/W2188883480","https://openalex.org/W1592364192","https://openalex.org/W656840002","https://openalex.org/W1605117403","https://openalex.org/W2381416480","https://openalex.org/W2380599343","https://openalex.org/W2181793145","https://openalex.org/W3163320880","https://openalex.org/W2365703075"],"abstract_inverted_index":{"Automatic":[0],"document":[1,13,31,161],"interpretation":[2],"and":[3,23,62,75,94,99,112,136,163],"retrieval":[4],"is":[5,19],"an":[6,20,159],"important":[7,21],"task":[8],"to":[9,51,123],"access":[10],"handwritten":[11,47],"digitized":[12],"repositories.":[14],"In":[15,33,49],"documents,":[16],"the":[17,53,125,129,164,169,172,175],"date":[18,43,78,141,148],"field":[22,44],"it":[24],"has":[25,38],"various":[26],"applications":[27],"such":[28,80],"as":[29,81],"date-wise":[30],"indexing/retrieval.":[32],"this":[34],"paper":[35],"a":[36,63,102,106,113],"framework":[37],"been":[39,71,121,144],"proposed":[40,176],"for":[41,73,146],"automatic":[42],"extraction":[45,150],"from":[46,101,128,168],"documents.":[48],"order":[50],"design":[52],"system,":[54],"sliding":[55],"window-wise":[56],"Local":[57],"Gradient":[58,109],"Histogram":[59,107],"(LGH)-based":[60],"features":[61,111],"character-level":[64],"Hidden":[65],"Markov":[66],"Model":[67],"(HMM)-based":[68],"approach":[69,170],"have":[70,120,143],"applied":[72],"segmentation":[74],"recognition.":[76],"Individual":[77],"components":[79],"month-word":[82],"(month":[83],"written":[84],"in":[85,151],"word":[86],"form":[87],"i.e.":[88],"January,":[89],"Jan,":[90],"etc.),":[91],"numeral,":[92],"punctuation":[93],"contraction":[95],"categories":[96],"are":[97,156],"segmented":[98],"labelled":[100,152],"text":[103],"line.":[104],"Next,":[105],"of":[108,140,174],"(HoG)-based":[110],"Support":[114],"Vector":[115],"Machine":[116],"(SVM)-":[117],"based":[118],"classifier":[119],"used":[122],"improve":[124],"results":[126,166],"obtained":[127,167],"HMM-based":[130],"recognition":[131],"system.":[132,177],"Subsequently,":[133],"both":[134],"numeric":[135],"semi-numeric":[137],"regular":[138],"expressions":[139],"patterns":[142],"considered":[145],"undertaking":[147],"pattern":[149],"components.":[153],"The":[154],"experiments":[155],"performed":[157],"on":[158],"English":[160],"dataset":[162],"encouraging":[165],"indicate":[171],"effectiveness":[173]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
