Adaptive thresholding methods for documents image binarization
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
A learning framework for the optimization and automation of document binarization methods
Computer Vision and Image Understanding
An optimization for binarization methods by removing binary artifacts
Pattern Recognition Letters
F-measure as the error function to train neural networks
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
A combined approach for the binarization of handwritten document images
Pattern Recognition Letters
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DIBCO 2009 is the first International Document Image Binarization Contest organized in the context of ICDAR 2009 conference. The general objective of the contest is to identify current advances in document image binarization using established evaluation performance measures. This paper describes the contest details including the evaluation measures used as well as the performance of the 43 submitted methods along with a short description of the top five algorithms.