M. Soua, R. Kachouri, and M. Akil, A new hibrid binarization method based on Kmeans, International Symposium on Communications, Control, and Signal Processing, 2014.

P. Xiu and H. S. Baird, Whole-Book Recognition In: Pattern Analysis and Machine Intelligence, IEEE Trans, vol.34, issue.12, pp.2467-2480, 2012.

A. Kae, G. B. Huang, C. Doersch, and E. G. Learned-miller, Improving state-of-the-art OCR through highprecision document-specific modeling, pp.1935-1942, 2010.

L. Eikvil, OCR-Optical Character Recognition, 1993.

D. Gaceb, V. Eglin, and F. Lebourgeois, A new mixed binarizatin method used in real time application of automatic business document and postal mail sorting, In: Int. Arab J. Inf. Technol, vol.10, issue.2, pp.179-188, 2013.

E. Ashari and R. Hornsey, FPGA Implementation of realtime Adaptive Image Thresholding, Proc. Photonic Applications in Astronomy, Biomedicine, Imaging, Materials Processing, and Education, 2004.

W. Fong, Document Imaging: A step toward a paperless office

D. Kumar, MAPS, Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP '12, 2012.
DOI : 10.1145/2425333.2425348

G. Lazzara and T. Graud, Efficient Multiscale Sauvolas Binarization, International Journal on document analysis and recognition, 2013.

W. Niblack, An Introduction to Digital Image Processing, 1985.

J. Sauvola, T. Seppanen, S. Haapakoski, and M. Pietikainen, Adaptive Document Binarization, 4th Int. Conf. On Document Analysis and Recognition, pp.147-152, 1997.

S. Srinivasan, Performance characterization and acceleration of Optical Character Recognition on handheld platforms, IEEE International Symposium on Workload Characterization (IISWC'10), pp.1-10, 2010.
DOI : 10.1109/IISWC.2010.5648852

Y. Li, K. Zhao, X. Chu, and J. Liu, Speeding up k- Means Algorithm by GPUs, Proc. IEEE 10th Intl Conf. Computer and Information Technology (CIT), pp.115-122, 2010.

S. Che, M. Boyer, J. Meng, D. Tarjan, J. W. Sheaffer et al., A performance study of general-purpose applications on graphics processors using CUDA, Journal of Parallel and Distributed Computing, vol.68, issue.10, pp.1370-1380, 2008.
DOI : 10.1016/j.jpdc.2008.05.014

W. Fang, Parallel Data Mining on Graphics Processors, In: technical report, 2008.

B. Hong-tao, H. Li-li, O. Dan-tong, L. Zhan-shan, and L. He, KMeans on Commodity GPUs with CUDA, Proc. WRI World Co 18. Sirotkovic, J., Dujmic H., and Papic, V.: K-Means Image Segmentation on Massively Parallel GPU Architecture. In: Proc. 35th Intl Convention MIPRO, pp.489-494, 2012.

R. Wu, B. Zhang, and M. Hsu, Clustering billions of data points using GPUs, Proceedings of the combined workshops on UnConventional high performance computing workshop plus memory access workshop, UCHPC-MAW '09, pp.1-6, 2009.
DOI : 10.1145/1531666.1531668

R. Smith, An Overview of the Tesseract OCR Engine, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, pp.629-633, 2007.
DOI : 10.1109/ICDAR.2007.4376991

T. Lelore and F. Bouchara, Super-Resolved Binarization of Text Based on the FAIR Algorithm, 2011 International Conference on Document Analysis and Recognition, pp.303-314, 2010.
DOI : 10.1109/ICDAR.2011.172

J. Fabrizio, B. Marcotegui, and M. Cord, Text segmentation in natural scenes using Toggle-Mapping, 2009 16th IEEE International Conference on Image Processing (ICIP), pp.2373-2376, 2009.
DOI : 10.1109/ICIP.2009.5413435
URL : https://hal.archives-ouvertes.fr/hal-00834427

T. Y. Chen, On the statistical properties of the Fmeasure , Quality Software, Proceedings. Fourth International Conference on, pp.146-153, 2004.

S. Clara and U. California, http://www.khronos.org/opencl/ 28. NVidia CUDA C Programming Guide, http://docs.nvidia.com/cuda/ cuda-c-programming-guide/index.html 29. Khronos. OpenCL: The open standard for parallel programming of heterogeneous systems, NVIDIA.: CUDA C best practices guide Parallel programming and computing platform, 2011.

J. Tompson and K. Schlachter, An introduction to the programming Model, Distributed Computing CSCI- GA, pp.2631-2632, 2012.

Y. Yi, C. Lai, and S. Petrov, Efficient parallel CKY parsing using GPUs, Journal of Logic and Computation, vol.24, issue.2, pp.175-185, 2011.
DOI : 10.1093/logcom/exs078

K. Khurshid, Comparison of Niblack inspired Binarization methods for ancient documents, In proceeding of: 16th Document Recognition and Retrieval Conference, part of the IS and T-SPIE Electronic Imaging Symposium, 2009.

B. M. Singh, Parallel Implementation of Niblack's Binarization Approach on CUDA, International Journal of Computer Applications, vol.32, issue.2, pp.22-27, 2011.

B. M. Singh, Parallel Implementation of Souvola's Binarization Approach on GPU, International Journal of Computer Applications, vol.32, issue.2, pp.28-33, 2011.