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Volumn 32, Issue 14, 2011, Pages 1805-1813

An adaptive local binarization method for document images based on a novel thresholding method and dynamic windows

Author keywords

Document image binarization; Local binarization; OCR; Text; Thresholding methods

Indexed keywords

BENCHMARK DATASETS; BINARIZATIONS; DOCUMENT ANALYSIS; DOCUMENT IMAGES; FLEXIBLE WINDOW; IMAGE REPRESENTATIONS; NIBLACK; TEXT; THRESHOLDING METHODS;

EID: 80052527461     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2011.08.001     Document Type: Article
Times cited : (107)

References (20)
  • 16
    • 1842422015 scopus 로고    scopus 로고
    • Survey over image thresholding techniques and quantitative performance evaluation
    • M. Sezgin, and B. Sankur Survey over image thresholding techniques and quantitative performance evaluation J. Electron. Imaging 2004 146 168
    • (2004) J. Electron. Imaging , pp. 146-168
    • Sezgin, M.1    Sankur, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.