Adaptive document image binarization
Identifieur interne : 001F24 ( Main/Exploration ); précédent : 001F23; suivant : 001F25Adaptive document image binarization
Auteurs : J. Sauvola [Finlande] ; M. Pietik Inen [Finlande]Source :
- Pattern Recognition [ 0031-3203 ] ; 1999.
Abstract
A new method is presented for adaptive document image binarization, where the page is considered as a collection of subcomponents such as text, background and picture. The problems caused by noise, illumination and many source type-related degradations are addressed. Two new algorithms are applied to determine a local threshold for each pixel. The performance evaluation of the algorithm utilizes test images with ground-truth, evaluation metrics for binarization of textual and synthetic images, and a weight-based ranking procedure for the final result presentation. The proposed algorithms were tested with images including different types of document components and degradations. The results were compared with a number of known techniques in the literature. The benchmarking results show that the method adapts and performs well in each case qualitatively and quantitatively.
Url:
DOI: 10.1016/S0031-3203(99)00055-2
Affiliations:
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