{"id":"https://openalex.org/W2137456081","doi":"https://doi.org/10.1109/icdar.2015.7333855","title":"Sparse radial sampling LBP for writer identification","display_name":"Sparse radial sampling LBP for writer identification","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2137456081","doi":"https://doi.org/10.1109/icdar.2015.7333855","mag":"2137456081"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2015.7333855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2015.7333855","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":"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/A5109581831","display_name":"Anguelos Nicolaou","orcid":null},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Anguelos Nicolaou","raw_affiliation_strings":["Computer Vision Center, Universitad Autonoma de Barcelona, Bellaterra, Spain","Computer Vision Center, Edifici O, Universitad Autonoma de Barcelona, Bellaterra, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Center, Universitad Autonoma de Barcelona, Bellaterra, Spain","institution_ids":["https://openalex.org/I123044942"]},{"raw_affiliation_string":"Computer Vision Center, Edifici O, Universitad Autonoma de Barcelona, Bellaterra, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064029620","display_name":"Andrew D. Bagdanov","orcid":"https://orcid.org/0000-0001-6408-7043"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Andrew D. Bagdanov","raw_affiliation_strings":["Computer Vision Center, Universitad Autonoma de Barcelona, Bellaterra, Spain","Computer Vision Center, Edifici O, Universitad Autonoma de Barcelona, Bellaterra, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Center, Universitad Autonoma de Barcelona, Bellaterra, Spain","institution_ids":["https://openalex.org/I123044942"]},{"raw_affiliation_string":"Computer Vision Center, Edifici O, Universitad Autonoma de Barcelona, Bellaterra, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073619925","display_name":"Marcus Liwicki","orcid":"https://orcid.org/0000-0003-4029-6574"},"institutions":[{"id":"https://openalex.org/I154338468","display_name":"University of Fribourg","ror":"https://ror.org/022fs9h90","country_code":"CH","type":"education","lineage":["https://openalex.org/I154338468"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Marcus Liwicki","raw_affiliation_strings":["DIVA research group, University of Fribourg, Switzerland","DIVA research group, Department of Informatics, University of Fribourg, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIVA research group, University of Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]},{"raw_affiliation_string":"DIVA research group, Department of Informatics, University of Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029375723","display_name":"D\u00ecmosthenis Karatzas","orcid":"https://orcid.org/0000-0001-8762-4454"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Dimosthenis Karatzas","raw_affiliation_strings":["Computer Vision Center, Universitad Autonoma de Barcelona, Bellaterra, Spain","Computer Vision Center, Edifici O, Universitad Autonoma de Barcelona, Bellaterra, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Center, Universitad Autonoma de Barcelona, Bellaterra, Spain","institution_ids":["https://openalex.org/I123044942"]},{"raw_affiliation_string":"Computer Vision Center, Edifici O, Universitad Autonoma de Barcelona, Bellaterra, Spain","institution_ids":["https://openalex.org/I123044942"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"716","last_page":"720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9955000281333923,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9897000193595886,"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/local-binary-patterns","display_name":"Local binary patterns","score":0.9308149218559265},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7094480395317078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7071203589439392},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6849880218505859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6741912364959717},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6670601963996887},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5891677737236023},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5070340633392334},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5069499015808105},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4818931221961975},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47403860092163086},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4415547251701355},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4302195906639099},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2945065498352051},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.19968754053115845},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15503361821174622},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1550309956073761}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.9308149218559265},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7094480395317078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7071203589439392},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6849880218505859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6741912364959717},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6670601963996887},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5891677737236023},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5070340633392334},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5069499015808105},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4818931221961975},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47403860092163086},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4415547251701355},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4302195906639099},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2945065498352051},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.19968754053115845},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15503361821174622},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1550309956073761},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdar.2015.7333855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2015.7333855","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:flore.unifi.it:2158/1081334","is_oa":false,"landing_page_url":"http://hdl.handle.net/2158/1081334","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W187397233","https://openalex.org/W1974625323","https://openalex.org/W2013361743","https://openalex.org/W2015178565","https://openalex.org/W2016249943","https://openalex.org/W2019432703","https://openalex.org/W2020774984","https://openalex.org/W2028164392","https://openalex.org/W2048171373","https://openalex.org/W2048581529","https://openalex.org/W2050995497","https://openalex.org/W2054922986","https://openalex.org/W2077221566","https://openalex.org/W2111642686","https://openalex.org/W2121102817","https://openalex.org/W2121343619","https://openalex.org/W2130478883","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2164878725","https://openalex.org/W2170737087","https://openalex.org/W2396799156","https://openalex.org/W6678163432","https://openalex.org/W6712372614"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W2794489335","https://openalex.org/W2080437822","https://openalex.org/W2153027217","https://openalex.org/W4388446985","https://openalex.org/W1589677080","https://openalex.org/W2770255720","https://openalex.org/W1509533962"],"abstract_inverted_index":{"Sampling":[0],"Local":[1,7],"Binary":[2,8],"Patterns,":[3],"a":[4,29,52,77,93],"variant":[5],"of":[6,25,76,104],"Patterns":[9],"(LBP)":[10],"for":[11,99],"text-as-texture":[12,31],"classification.":[13],"By":[14],"adapting":[15],"and":[16,34,44,51,86],"extending":[17],"the":[18,23,48,61,63,67,89,97],"standard":[19],"LBP":[20],"operator":[21],"to":[22,37],"particularities":[24],"text":[26],"we":[27],"get":[28],"generic":[30],"classification":[32],"scheme":[33],"apply":[35],"it":[36,84],"writer":[38],"identification.":[39],"In":[40],"experiments":[41],"on":[42,73],"CVL":[43],"ICDAR":[45],"2013":[46],"datasets,":[47],"proposed":[49,64],"feature-set":[50],"simple":[53],"end-to-end":[54],"pipeline":[55,95],"demonstrate":[56],"State-Of-the-Art":[57],"(SOA)":[58],"performance.":[59],"Among":[60],"SOA,":[62],"method":[65],"is":[66,71],"only":[68],"one":[69],"that":[70],"based":[72],"dense":[74],"extraction":[75,103],"single":[78],"local":[79],"feature":[80],"descriptor.":[81],"This":[82],"makes":[83],"fast":[85],"applicable":[87],"at":[88],"earliest":[90],"stages":[91],"in":[92],"DIA":[94],"without":[96],"need":[98],"segmentation,":[100],"binarization,":[101],"or":[102],"multiple":[105],"features.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
