Document image binarization algorithms

This repo includes implementations of document image binarization algorithms
and my own method

• Gatos method [1]
• Ntirogiannis method [2]
• Su (Local Maximum and Minimum) method [3]
• Otsu method [4]
• Niblack method [5]
• Sauvola method [6]
• Document Image Binarization using Deep Learning Neural Network method

References:

[1] B. Gatos, I. Pratikakis, and S. J. Perantonis, "Adaptive degraded document image binarization," Pattern Recognition, vol. 39, no. 3, pp. 317-327, 2006.

[2] K. Ntirogiannis, B. Gatos, and I. Pratikakis, "A combined approach for the binarizationof handwritten document images," Pattern Recognition Letters, vol. 35,pp.3-15, 2014

[3] B. Su, S. Lu, and C. Tan, "Binarization of historical document images using the local maximum and minimum," Proc. Int. Workshop on Document Analysis Systems(DAS'10), pp. 159-166, 2010.

[4] N. Otsu, "A Threshold Selection Method from Gray-Level Histograms," IEEE Transactions on Systems, Man, and Cybernetics, vol. 9, no. 1, pp. 62-66, 1979.

[5] W. Niblack, "An introduction to digital image processing," N.J., Englewood Cliffs:Prentice Hall, pp. 115-116, 1986.

[6] J. Sauvola and M. Pietikainen, "Adaptive document image binarization," Pattern Recognition, vol. 33, no. 2, pp. 225-236, 2000.