{"id":"https://openalex.org/W2599177873","doi":"https://doi.org/10.1109/asar.2017.8067753","title":"Binarization of document images with various object sizes","display_name":"Binarization of document images with various object sizes","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2599177873","doi":"https://doi.org/10.1109/asar.2017.8067753","mag":"2599177873"},"language":"en","primary_location":{"id":"doi:10.1109/asar.2017.8067753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asar.2017.8067753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 1st International Workshop on Arabic Script Analysis and Recognition (ASAR)","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/A5082083218","display_name":"Zineb Hadjadj","orcid":null},"institutions":[{"id":"https://openalex.org/I83332908","display_name":"University of Blida","ror":"https://ror.org/03g41pw14","country_code":"DZ","type":"education","lineage":["https://openalex.org/I83332908"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Zineb Hadjadj","raw_affiliation_strings":["University of Blida, Blida, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Blida, Blida, Algeria","institution_ids":["https://openalex.org/I83332908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082266809","display_name":"Abdelkrim Meziane","orcid":"https://orcid.org/0000-0003-0894-8376"},"institutions":[{"id":"https://openalex.org/I4210095777","display_name":"Centre de Recherche sur l'Information Scientifique et Technique","ror":"https://ror.org/01k1bte55","country_code":"DZ","type":"government","lineage":["https://openalex.org/I4210095777","https://openalex.org/I4210114810"]},{"id":"https://openalex.org/I83332908","display_name":"University of Blida","ror":"https://ror.org/03g41pw14","country_code":"DZ","type":"education","lineage":["https://openalex.org/I83332908"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Abdelkrim Meziane","raw_affiliation_strings":["Research Center on Scientific and Technical Information, Algiers, Algeria","University of Blida, Blida, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center on Scientific and Technical Information, Algiers, Algeria","institution_ids":["https://openalex.org/I4210095777"]},{"raw_affiliation_string":"University of Blida, Blida, Algeria","institution_ids":["https://openalex.org/I83332908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.01619925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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":0.7782009243965149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7658221125602722},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6711656451225281},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5956668853759766},{"id":"https://openalex.org/keywords/document-image-processing","display_name":"Document image processing","score":0.5810809135437012},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5566170811653137},{"id":"https://openalex.org/keywords/historical-document","display_name":"Historical document","score":0.5439060926437378},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5094543099403381},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4813059866428375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45309877395629883},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.44964373111724854},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.42926090955734253},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.36704516410827637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16152536869049072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782009243965149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7658221125602722},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6711656451225281},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5956668853759766},{"id":"https://openalex.org/C2988504005","wikidata":"https://www.wikidata.org/wiki/Q379942","display_name":"Document image processing","level":4,"score":0.5810809135437012},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5566170811653137},{"id":"https://openalex.org/C2778371909","wikidata":"https://www.wikidata.org/wiki/Q3771738","display_name":"Historical document","level":2,"score":0.5439060926437378},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5094543099403381},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4813059866428375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45309877395629883},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.44964373111724854},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.42926090955734253},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.36704516410827637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16152536869049072},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asar.2017.8067753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asar.2017.8067753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 1st International Workshop on Arabic Script Analysis and Recognition (ASAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1600276254","https://openalex.org/W1882809644","https://openalex.org/W1983075825","https://openalex.org/W1990643530","https://openalex.org/W2003340870","https://openalex.org/W2015230810","https://openalex.org/W2024398531","https://openalex.org/W2027091505","https://openalex.org/W2052393437","https://openalex.org/W2065350108","https://openalex.org/W2081868602","https://openalex.org/W2083970667","https://openalex.org/W2110387094","https://openalex.org/W2116040950","https://openalex.org/W2127319406","https://openalex.org/W2128060444","https://openalex.org/W2133003941","https://openalex.org/W2133059825","https://openalex.org/W2156605212","https://openalex.org/W2397287727","https://openalex.org/W2522846564","https://openalex.org/W6656704494","https://openalex.org/W6667094255","https://openalex.org/W6676259513","https://openalex.org/W6712183789"],"related_works":["https://openalex.org/W1975383682","https://openalex.org/W2559984738","https://openalex.org/W2181567243","https://openalex.org/W2004420716","https://openalex.org/W2787413509","https://openalex.org/W2132886386","https://openalex.org/W2183569493","https://openalex.org/W2563414700","https://openalex.org/W1994068766","https://openalex.org/W2184712341"],"abstract_inverted_index":{"There":[0],"are":[1],"a":[2,35,158],"lot":[3],"of":[4,19,30,72,116,119,173],"document":[5,40,169,181],"image":[6,81],"binarization":[7,37,54,121,144,150],"techniques":[8],"that":[9],"try":[10,112],"to":[11,22,79,86,94,113,146,167],"differentiate":[12],"between":[13],"foreground":[14],"and":[15,89,154],"background":[16],"but":[17],"many":[18],"them":[20],"fail":[21],"correctly":[23],"detect":[24],"all":[25],"the":[26,50,69,80,101,117,124,141,164,168,174],"text":[27],"pixels":[28],"because":[29],"degradations.":[31],"In":[32,108],"this":[33,109],"paper,":[34],"new":[36],"method":[38,46,176],"for":[39,98,151],"images":[41,182],"is":[42,47,83,123,136,177],"presented.":[43],"The":[44,130,171],"proposed":[45,175],"based":[48],"on":[49,61,179],"most":[51],"commonly":[52],"used":[53],"method:":[55],"Sauvola's,":[56],"which":[57,122],"performs":[58],"relatively":[59],"well":[60],"classical":[62],"documents,":[63,100],"however,":[64],"three":[65],"main":[66],"defects":[67],"remain:":[68],"window":[70,165],"parameter":[71],"Sauvola's":[73,120,143],"formula":[74],"does":[75],"not":[76,84,90,104],"fit":[77],"automatically":[78],"content,":[82],"robust":[85],"low":[87],"contrasts,":[88],"invariant":[91],"with":[92,140,183],"respect":[93],"contrast":[95],"inversion.":[96],"Thus":[97],"some":[99],"content":[102],"may":[103],"be":[105],"retrieved":[106],"correctly.":[107],"paper":[110],"we":[111],"overcome":[114],"one":[115],"limitations":[118],"Handling":[125],"badly":[126],"various":[127,184],"object":[128,185],"sizes.":[129,186],"well-known":[131],"Chan-Vese":[132],"active":[133],"contour":[134],"model":[135],"use":[137],"in":[138],"combination":[139],"computed":[142],"step":[145],"guarantee":[147],"good":[148],"quality":[149],"both":[152],"small":[153],"large":[155],"objects":[156],"inside":[157],"single":[159],"document,":[160],"without":[161],"adjusting":[162],"manually":[163],"size":[166],"content.":[170],"efficiency":[172],"shown":[178],"several":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
