{"id":"https://openalex.org/W1980679618","doi":"https://doi.org/10.1145/2683483.2683514","title":"Writer Identification using a Deep Neural Network","display_name":"Writer Identification using a Deep Neural Network","publication_year":2014,"publication_date":"2014-12-14","ids":{"openalex":"https://openalex.org/W1980679618","doi":"https://doi.org/10.1145/2683483.2683514","mag":"1980679618"},"language":"en","primary_location":{"id":"doi:10.1145/2683483.2683514","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image 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/A5068628314","display_name":"Jun Chu","orcid":"https://orcid.org/0000-0003-2408-3982"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jun Chu","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14269, USA","Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14269, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14269, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14269, USA#TAB#","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102711181","display_name":"Sargur N. Srihari","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sargur Srihari","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14269, USA","Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14269, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14269, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14269, USA#TAB#","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068628314"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.55659403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9947999715805054,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9901999831199646,"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/handwriting","display_name":"Handwriting","score":0.9307644367218018},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7544749975204468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.754365086555481},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7103291153907776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6910996437072754},{"id":"https://openalex.org/keywords/writing-style","display_name":"Writing style","score":0.6627908945083618},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6405445337295532},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6299382448196411},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6279685497283936},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6000116467475891},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5698622465133667},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5065215826034546},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.4931311309337616},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.4689438045024872},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39352181553840637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3380417227745056},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3180156648159027},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19550934433937073}],"concepts":[{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.9307644367218018},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7544749975204468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754365086555481},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7103291153907776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6910996437072754},{"id":"https://openalex.org/C13622073","wikidata":"https://www.wikidata.org/wiki/Q2243831","display_name":"Writing style","level":2,"score":0.6627908945083618},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6405445337295532},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6299382448196411},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6279685497283936},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6000116467475891},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5698622465133667},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5065215826034546},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.4931311309337616},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.4689438045024872},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39352181553840637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3380417227745056},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3180156648159027},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19550934433937073},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2683483.2683514","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1606323814","https://openalex.org/W1976224770","https://openalex.org/W1992003618","https://openalex.org/W2024077020","https://openalex.org/W2032756327","https://openalex.org/W2039708501","https://openalex.org/W2100495367","https://openalex.org/W2162051927","https://openalex.org/W2170737087","https://openalex.org/W6662101812"],"related_works":["https://openalex.org/W4396941953","https://openalex.org/W2987280934","https://openalex.org/W4241564561","https://openalex.org/W3003949997","https://openalex.org/W2110485610","https://openalex.org/W3199359807","https://openalex.org/W3047607512","https://openalex.org/W4390983538","https://openalex.org/W2744690920","https://openalex.org/W2787081548"],"abstract_inverted_index":{"Most":[0],"work":[1],"on":[2,7,30,90,189],"automatic":[3],"writer":[4,57],"identification":[5,58],"relies":[6],"handwriting":[8,65,154],"features":[9,15,45],"defined":[10],"by":[11,47,76,162],"humans[6,":[12],"4].":[13],"These":[14],"correspond":[16],"to":[17,59,137],"basic":[18],"units":[19],"such":[20],"as":[21,80],"letters":[22],"and":[23],"words":[24,73],"of":[25,28,38,56,62,109,116,118,164,179,193],"text.":[26],"Instead":[27],"relying":[29],"human-defined":[31],"features,":[32,92],"we":[33,93],"consider":[34],"here":[35],"the":[36,54,60,77,104,114,119,128],"determination":[37],"writing":[39,95,107,142,150,180],"similarity":[40,96,100],"using":[41,195],"automatically":[42],"determined":[43],"word-level":[44,85,91],"learnt":[46],"a":[48,63,81,140,148,174,185,190],"deep":[49],"neural":[50,129],"network.":[51],"We":[52],"generalize":[53],"problem":[55],"definition":[61],"content-irrelevant":[64],"similarity.":[66],"Our":[67],"method":[68,134],"first":[69],"takes":[70],"whether":[71],"two":[72],"were":[74,160],"written":[75,161],"same":[78,120],"person":[79],"discriminative":[82],"label":[83],"for":[84],"feature":[86],"training.":[87],"Then,":[88],"based":[89],"define":[94],"between":[97,106],"passages.":[98],"This":[99],"not":[101],"only":[102],"shows":[103],"distinction":[105],"styles":[108],"different":[110],"people,":[111],"but":[112],"also":[113,200],"development":[115],"style":[117,143],"person.":[121],"Performance":[122],"with":[123,145,173],"several":[124],"hidden":[125],"layers":[126],"in":[127],"network":[130],"are":[131,156,171,199],"evaluated.":[132],"The":[133,152],"is":[135],"applied":[136],"determine":[138],"how":[139],"person's":[141],"changes":[144],"time":[146],"considering":[147],"children's":[149,153],"dataset.":[151],"data":[155,194],"annually":[157],"collected.":[158],"They":[159],"children":[163],"2nd,":[165],"3rd":[166],"or":[167],"4th":[168],"grade.":[169],"Results":[170],"given":[172],"whole":[175],"passage":[176],"(50":[177],"words)":[178],"over":[181],"one-year":[182],"change.":[183],"As":[184],"comparison,":[186],"similar":[187],"experiments":[188],"small":[191],"amount":[192],"conventional":[196],"generative":[197],"model":[198],"given.":[201]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
