{"id":"https://openalex.org/W2916744259","doi":"https://doi.org/10.1145/3293475.3293484","title":"A Hybrid Method for Historical Degraded Document Image","display_name":"A Hybrid Method for Historical Degraded Document Image","publication_year":2018,"publication_date":"2018-11-17","ids":{"openalex":"https://openalex.org/W2916744259","doi":"https://doi.org/10.1145/3293475.3293484","mag":"2916744259"},"language":"en","primary_location":{"id":"doi:10.1145/3293475.3293484","doi":"https://doi.org/10.1145/3293475.3293484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293475.3293484","pdf_url":null,"source":{"id":"https://openalex.org/S7407089285","display_name":"International Conference on Computational Intelligence and Intelligent Systems (CIIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"},"volume":null,"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/A5001796075","display_name":"Naouel Ouafek","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210131710","display_name":"\u00c9cole Normale Sup\u00e9rieure de Constantine","ror":"https://ror.org/03xz4j444","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210131710"]},{"id":"https://openalex.org/I4210160465","display_name":"Universit\u00e9 Constantine 2","ror":"https://ror.org/056mctw68","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210160465"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Naouel Ouafek","raw_affiliation_strings":["Abdelhamid Mehri University Constantine2, and ENSC Constantine, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Abdelhamid Mehri University Constantine2, and ENSC Constantine, Algeria","institution_ids":["https://openalex.org/I4210131710","https://openalex.org/I4210160465"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5096991210","display_name":"Mohamed-KhireddineKholladi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210157185","display_name":"University of Eloued","ror":"https://ror.org/05416s909","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210157185"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mohamed-KhireddineKholladi","raw_affiliation_strings":["Echahid Hamma Lakhdar university, EL-OUED., El-Oued, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Echahid Hamma Lakhdar university, EL-OUED., El-Oued, Algeria","institution_ids":["https://openalex.org/I4210157185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20050098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":1.0,"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":1.0,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.0,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/document-image-binarization","display_name":"document image binarization","score":0.9800000190734863},{"id":"https://openalex.org/keywords/degraded-document-images","display_name":"degraded document images","score":0.9539999961853027},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"text segmentation","score":0.8140000104904175},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9100000262260437},{"id":"https://openalex.org/keywords/image-inpainting","display_name":"image inpainting","score":0.703000009059906},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.8790000081062317},{"id":"https://openalex.org/keywords/contrast-enhancement","display_name":"contrast enhancement","score":0.9319999814033508}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7882421016693115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519259452819824},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7293298244476318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.698306143283844},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.6699628829956055},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5557917356491089},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5522735118865967},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46126797795295715},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.4531162679195404},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4470227360725403},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.4388044476509094},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4346761703491211},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.43278640508651733},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42842817306518555},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2833423912525177},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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:10.1145/3293475.3293484","doi":"https://doi.org/10.1145/3293475.3293484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293475.3293484","pdf_url":null,"source":{"id":"https://openalex.org/S7407089285","display_name":"International Conference on Computational Intelligence and Intelligent Systems (CIIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W184986784","https://openalex.org/W1600276254","https://openalex.org/W1983075825","https://openalex.org/W1995971685","https://openalex.org/W2022989269","https://openalex.org/W2033573633","https://openalex.org/W2081868602","https://openalex.org/W2083970667","https://openalex.org/W2114388181","https://openalex.org/W2127319406","https://openalex.org/W2128060444","https://openalex.org/W2133059825","https://openalex.org/W2295936755","https://openalex.org/W2312776000","https://openalex.org/W2805345775","https://openalex.org/W2811440499"],"related_works":["https://openalex.org/W2791405695","https://openalex.org/W4403842843","https://openalex.org/W2987648857","https://openalex.org/W2237052143","https://openalex.org/W1493746062","https://openalex.org/W2751352153","https://openalex.org/W2964340970","https://openalex.org/W3128705641","https://openalex.org/W7149613508","https://openalex.org/W2077493700"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,19,32,35,44,47,65,73,76,85,97,100],"problem":[4],"of":[5,21,46,67,75],"document":[6,37,101],"image":[7,78],"binarization,":[8],"in":[9,34,99],"which":[10],"we":[11,40],"present":[12],"a":[13,22,51],"new":[14],"binarization":[15],"method":[16,90],"based":[17],"on":[18],"use":[20,66],"supervised":[23],"learning":[24],"support":[25,68],"vector":[26,69],"machine":[27,70],"SVM,":[28],"that":[29],"accurately":[30],"segment":[31],"text":[33],"degraded":[36],"image.":[38,49,87],"First":[39],"start":[41],"by":[42,56],"enhance":[43],"contrast":[45],"original":[48,77],"Then,":[50],"feature":[52],"selection":[53],"is":[54,64],"making":[55],"using":[57],"an":[58],"inpainting":[59],"algorithm.":[60],"The":[61,88],"last":[62],"phase":[63],"to":[71,83],"classify":[72],"pixels":[74],"into":[79],"\"1\"":[80],"or":[81],"\"0\"":[82],"construct":[84],"binary":[86],"suggested":[89],"has":[91],"been":[92],"tested":[93],"and":[94],"evaluated":[95],"over":[96],"benchmarking":[98],"binarization:":[102],"DIBCO'2009.":[103]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2019-03-02T00:00:00"}
