{"id":"https://openalex.org/W2054922986","doi":"https://doi.org/10.1109/ipta.2014.7001961","title":"Investigation of feature selection for historical document layout analysis","display_name":"Investigation of feature selection for historical document layout analysis","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2054922986","doi":"https://doi.org/10.1109/ipta.2014.7001961","mag":"2054922986"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2014.7001961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2014.7001961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5084193091","display_name":"Wei Hao","orcid":"https://orcid.org/0000-0002-1747-1218"},"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":true,"raw_author_name":"Hao Wei","raw_affiliation_strings":["Department of Informatics, University of Fribourg, Fribourg, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Fribourg, Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437924","display_name":"Kai Chen","orcid":"https://orcid.org/0000-0001-6384-0355"},"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":"Kai Chen","raw_affiliation_strings":["Department of Informatics, University of Fribourg, Fribourg, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Fribourg, Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109581831","display_name":"Anguelos Nicolaou","orcid":null},"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":"Anguelos Nicolaou","raw_affiliation_strings":["Department of Informatics, University of Fribourg, Fribourg, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Fribourg, Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]},{"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/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]},{"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","DE"],"is_corresponding":false,"raw_author_name":"Marcus Liwicki","raw_affiliation_strings":["DFKI - German Research Center for Artificial Intelligence","Department of Informatics, University of Fribourg, Fribourg, Switzerland"],"affiliations":[{"raw_affiliation_string":"DFKI - German Research Center for Artificial Intelligence","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"Department of Informatics, University of Fribourg, Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018014670","display_name":"Rolf Ingold","orcid":"https://orcid.org/0000-0001-7738-133X"},"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":"Rolf Ingold","raw_affiliation_strings":["Universite de Fribourg, Fribourg, FR, CH"],"affiliations":[{"raw_affiliation_string":"Universite de Fribourg, Fribourg, FR, CH","institution_ids":["https://openalex.org/I154338468"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084193091"],"corresponding_institution_ids":["https://openalex.org/I154338468"],"apc_list":null,"apc_paid":null,"fwci":0.72342463,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76452464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9995999932289124,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9959999918937683,"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":0.7434870004653931},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7282195687294006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6983360648155212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6907441020011902},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5659320950508118},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5504903197288513},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5463443994522095},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5419846177101135},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5106690526008606},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.48490434885025024},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.4797055125236511},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.46966707706451416},{"id":"https://openalex.org/keywords/historical-document","display_name":"Historical document","score":0.425689160823822},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4138239026069641},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3854132890701294},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19834089279174805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10781818628311157},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.10577115416526794},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08438944816589355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7434870004653931},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7282195687294006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6983360648155212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6907441020011902},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5659320950508118},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5504903197288513},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5463443994522095},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5419846177101135},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5106690526008606},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.48490434885025024},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.4797055125236511},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.46966707706451416},{"id":"https://openalex.org/C2778371909","wikidata":"https://www.wikidata.org/wiki/Q3771738","display_name":"Historical document","level":2,"score":0.425689160823822},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4138239026069641},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3854132890701294},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19834089279174805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10781818628311157},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.10577115416526794},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08438944816589355},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2014.7001961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2014.7001961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA)","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":32,"referenced_works":["https://openalex.org/W1646038686","https://openalex.org/W1964101267","https://openalex.org/W1973804542","https://openalex.org/W1984516781","https://openalex.org/W1990047817","https://openalex.org/W1993155451","https://openalex.org/W2005492836","https://openalex.org/W2014915963","https://openalex.org/W2025998288","https://openalex.org/W2050843443","https://openalex.org/W2055481957","https://openalex.org/W2059770154","https://openalex.org/W2069928051","https://openalex.org/W2077221566","https://openalex.org/W2087327261","https://openalex.org/W2096081771","https://openalex.org/W2096701529","https://openalex.org/W2100253618","https://openalex.org/W2116623559","https://openalex.org/W2119479037","https://openalex.org/W2133990480","https://openalex.org/W2139916508","https://openalex.org/W2149605730","https://openalex.org/W2158053132","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2167101736","https://openalex.org/W2319958627","https://openalex.org/W2396799156","https://openalex.org/W3103913776","https://openalex.org/W4285719527","https://openalex.org/W6712372614"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W1971748923","https://openalex.org/W3166997759","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2794489335","https://openalex.org/W2080437822","https://openalex.org/W2206776950"],"abstract_inverted_index":{"In":[0,129],"this":[1],"paper":[2],"we":[3,52,80,132],"investigate":[4],"the":[5,11,20,23,45,49,78,104,111,124,156],"importance":[6],"of":[7,13,22,30,48,56,106,165],"individual":[8],"features":[9,107,118,136,166],"for":[10,19,175],"task":[12],"document":[14,24,75,176],"layout":[15,177],"analysis,":[16],"in":[17,173,179],"particular":[18],"classification":[21,79],"pixels.":[25],"The":[26,97],"feature":[27,50,69,100,126,142],"set":[28],"consists":[29],"numerous":[31],"state-of-the-art":[32],"features,":[33],"including":[34],"color,":[35],"gradient,":[36],"and":[37,61],"local":[38],"binary":[39],"patterns":[40],"(LBP).":[41],"To":[42],"deal":[43],"with":[44,119,123,155],"high":[46],"dimensionality":[47],"set,":[51],"propose":[53],"a":[54,62,171],"cascade":[55],"an":[57],"adapted":[58],"forward":[59],"selection":[60,70,101,127,143],"genetic":[63],"selection.":[64],"We":[65],"have":[66],"evaluated":[67],"our":[68,130],"method":[71,102],"on":[72,145],"three":[73,147],"historical":[74],"datasets.":[76,148],"For":[77],"used":[81],"machine":[82],"learning":[83],"methods":[84,144],"which":[85],"classify":[86],"each":[87],"pixel":[88,157],"into":[89],"either":[90],"periphery,":[91],"background,":[92],"text":[93],"block,":[94],"or":[95],"decoration.":[96],"proposed":[98],"cascading":[99],"reduced":[103],"number":[105],"significantly":[108],"while":[109],"preserving":[110],"cross-validation":[112],"performance.":[113],"Furthermore,":[114],"it":[115],"selected":[116,139],"less":[117],"comparable":[120],"performance,":[121],"compared":[122],"conventional":[125],"methods.":[128],"analysis":[131,178],"found":[133],"that":[134,151],"LBP":[135,152],"are":[137],"consistently":[138],"by":[140],"all":[141,146],"This":[149],"indicates":[150],"correlate":[153],"highly":[154],"classes":[158],"much":[159],"more":[160],"than":[161],"any":[162],"other":[163],"type":[164],"does.":[167],"These":[168],"findings":[169],"suggest":[170],"clue":[172],"paradigm":[174],"general.":[180]},"counts_by_year":[{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}