Combining Global and Local Threshold to Binarize Document of Images

1. Canny, J.F.: A computational approach to edge detection. IEEE Transaction on PAMI 8(6), 679–698 (1986)

   Google Scholar 

2. Chang, F., Liang, K.-H., Tan, T.-M., Hwang, W.-L.: Binarization of documents images using Hadamard multi-resolution analysis. In: Proceedings of 5th International Conference on Document Analysis and Recognition, Bangalore, India, September 1999, pp. 157–160 (1999)

   Google Scholar 

3. Cheng, H.D., Chen, Y.-H.: Fuzzy partition of two-dimensional histogram and its application to thresholding. Pattern recognition 32, 825–843 (1999)

   Article  Google Scholar 

4. Cho, S., Haralick, R., Yi, S.: Improvement of Kittler and Illingworth’s minimum error thresholding. Pattern Recognation 22, 609–617 (1989)

   Article  Google Scholar 

5. Deriche, R.: Using Canny’s criteria to derive a recursively implemented optimal edge detector. The International Journal of Computer Vision 1(2), 167–187 (1987)

   Article  Google Scholar 

6. Gadi, T., Benslimane, R.: Fuzzy hierarchical segmentation (in French). Traitement du signal 17(1) (2000)

   Google Scholar 

7. Kurita, T., Otsu, N., Abdelmalek, N.: Maximum likelihood thresholding based on population mixture models. Pattern Recognition 10, 1231–1240 (1992)

   Article  Google Scholar 

8. Levine, M.D., Nazif, A.M.: Dynamic measurement of computer generated image segmentation. IEEE Transactions on PAMI 7(2), 155–164 (1985)

   Google Scholar 

9. Mardia, K.V., Hainsworth, T.J.: A spatial thresholding method for image segmentation. IEEE Transactions of PAMI 10(6), 919–926 (1988)

   Google Scholar 

10. Otsu, N.: A threshold selection method for grey-level histograms. IEEE Transactions on Systems, Man, and Cybernetics 9, 62–66 (1979)

    Article  Google Scholar 

11. Parker, J.: Algorithms for Image processing and computer vision, Wiley Editions (1996)

    Google Scholar 

12. Sauvola, J., Pietikainen, M.: Adaptative document image binarization. Pattern Recognition 33, 225–236 (2000)

    Article  Google Scholar 

13. Tabbone, S., Wendling, L.: Multi-Scale binarization of images. Pattern Recognation Letters 24, 403–411 (2001)

    Article  Google Scholar 

14. Tsai, W.: Moment-preserving thresholding: a new approach. Computer Vision, Graphics and Image Processing 29, 377–393 (1985)

    Article  Google Scholar 

15. Trier, D., Taxt, T.: Improvement of “integrated function algorithm” for binarization of document images. Pattern Recognition Letters 16, 277–283 (1995a)

    Article  Google Scholar 

Download references