Evaluation of binarization methods for document images
IEEE Transactions on Pattern Analysis and Machine IntelligencePublished 1 March 1995
Øivind Due Trier, Torfinn Taxt
Citations383
SJR quartileQ1
SJR score3.91
SNIP5.99
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TL;DR
This paper presents an evaluation of eleven locally adaptive binarization methods for gray scale images with low contrast, variable background intensity and noise and Niblack's method with the addition of the postprocessing step of Yanowitz and Bruckstein's method (1989) performed the best and was also one of the fastest binarized methods.
Abstract
This paper presents an evaluation of eleven locally adaptive binarization methods for gray scale images with low contrast, variable background intensity and noise. Niblack's method (1986) with the addition of the postprocessing step of Yanowitz and Bruckstein's method (1989) added performed the best and was also one of the fastest binarization methods.>
Keywords
Computer Science
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