{"id":"https://openalex.org/W2148902711","doi":"https://doi.org/10.2316/journal.206.2009.1.206-3193","title":"ESTIMATION OF APPROPRIATE PARAMETER VALUES FOR DOCUMENT BINARIZATION TECHNIQUES","display_name":"ESTIMATION OF APPROPRIATE PARAMETER VALUES FOR DOCUMENT BINARIZATION TECHNIQUES","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2148902711","doi":"https://doi.org/10.2316/journal.206.2009.1.206-3193","mag":"2148902711"},"language":"en","primary_location":{"id":"doi:10.2316/journal.206.2009.1.206-3193","is_oa":false,"landing_page_url":"https://doi.org/10.2316/journal.206.2009.1.206-3193","pdf_url":null,"source":{"id":"https://openalex.org/S74998426","display_name":"International Journal of Robotics and Automation","issn_l":"0826-8185","issn":["0826-8185","1925-7090"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Robotics and Automation","raw_type":"journal-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/A5111823281","display_name":"E. Badekas","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"E. Badekas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110446833","display_name":"N. Papamarkos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Papamarkos","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111823281"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6561,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.73901919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"24","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.998199999332428,"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":0.998199999332428,"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":0.9966999888420105,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9926999807357788,"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":0.7754533886909485},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.7196604013442993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6963320970535278},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.623728334903717},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5584659576416016},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49325889348983765},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3598734736442566},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3517839312553406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7754533886909485},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.7196604013442993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6963320970535278},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.623728334903717},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5584659576416016},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49325889348983765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3598734736442566},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3517839312553406},{"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:10.2316/journal.206.2009.1.206-3193","is_oa":false,"landing_page_url":"https://doi.org/10.2316/journal.206.2009.1.206-3193","pdf_url":null,"source":{"id":"https://openalex.org/S74998426","display_name":"International Journal of Robotics and Automation","issn_l":"0826-8185","issn":["0826-8185","1925-7090"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Robotics and Automation","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.230.9072","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.9072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ecal.ee.duth.gr/uploaded-files/Papaparkos/Journals/206-3193.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1491319300","https://openalex.org/W1573698127","https://openalex.org/W1600276254","https://openalex.org/W1966411054","https://openalex.org/W1978201170","https://openalex.org/W1998831124","https://openalex.org/W2008748102","https://openalex.org/W2009667652","https://openalex.org/W2021511865","https://openalex.org/W2027091505","https://openalex.org/W2039269145","https://openalex.org/W2083970667","https://openalex.org/W2092564322","https://openalex.org/W2096832794","https://openalex.org/W2117399786","https://openalex.org/W2127319406","https://openalex.org/W2128060444","https://openalex.org/W2131802844","https://openalex.org/W2133003941","https://openalex.org/W2133059825","https://openalex.org/W2140849072","https://openalex.org/W2143807890","https://openalex.org/W2148539800","https://openalex.org/W2153394113","https://openalex.org/W2168214057","https://openalex.org/W2171443096"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2468698815","https://openalex.org/W2383516975","https://openalex.org/W2374878784","https://openalex.org/W2147679489"],"abstract_inverted_index":{"Most":[0],"of":[1,27,31,36,42,61,83,97,105,120,123,130,148,151,176,187,200],"the":[2,25,28,37,43,52,65,74,84,95,98,106,128,139,143,166,185,188,194,201,204],"document":[3,15,71,85,107,145,152,177],"binarization":[4,16,38,54,67,108,124,132,146,153,190],"techniques":[5,154],"have":[6],"many":[7],"parameters":[8,48,62,76,100,136],"that":[9,63,165,184],"must":[10,77],"initially":[11],"be":[12,78,157],"specified.":[13],"Usually,":[14],"evaluation":[17,168],"is":[18,49,58,113,170],"subjective":[19],"and":[20],"employs":[21],"human":[22,205],"observers":[23],"for":[24,33,46,51,69,102],"estimation":[26,96],"proper":[29,44,75,99],"set":[30,60,122,150],"parameters,":[32],"each":[34,81,103],"one":[35,82,104],"techniques.":[39,109],"The":[40,110],"selection":[41,186],"values":[45,101],"these":[47],"crucial":[50],"final":[53],"result.":[55],"However,":[56],"there":[57],"no":[59],"guarantees":[64],"best":[66,144,189],"result":[68,147],"all":[70],"images.":[72,86,178],"Thus,":[73],"adapted":[79],"to":[80,173],"This":[87],"paper":[88],"proposes":[89],"a":[90,116,121,131,149],"new":[91],"technique":[92,169],"which":[93],"permits":[94],"proposed":[111,167,195],"approach":[112],"based":[114],"on":[115],"statistical":[117,140],"performance":[118,141],"analysis":[119],"results":[125],"obtained":[126,192],"by":[127,193],"application":[129],"technique,":[133,191],"using":[134],"different":[135,174],"values.":[137],"Using":[138],"analysis,":[142],"can":[155],"also":[156],"estimated.":[158],"From":[159],"several":[160],"experimental":[161],"results,":[162],"we":[163],"verify":[164],"successfully":[171],"applied":[172],"types":[175],"In":[179],"addition,":[180],"psycho-visual":[181],"experiments":[182],"show":[183],"approach,":[196],"agrees":[197],"in":[198],"most":[199],"cases,":[202],"with":[203],"perception":[206],"ability.":[207]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
