62 References [1] J. He, Q.D.M. Do, A.C. Downton, J.H. Kim, “A Comparison of Binarization Methods for Historical Archive Documents”, 8th International Conference on Document Analysis and Recognition (ICDAR’05), 2005, pp. 538-542. [2] G. Leedham, S. Varma, A. Patankar, V. Govindaraju, “Separating text and background in degraded document images - a comparison of global thresholding techniques for multi-stage thresholding”, Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR’02), Canada, August 2002, pp. 244-249 [3] Abhijit Mitra, “Restoration of Noisy Document Images with an Efficient Bi-Level Adaptive Thresholding”, International Journal of Computational Intelligence (IJCI), volume 2, No. 2, 2005, pp 118-123 [4] Fadoua Drira, “Towards Restoring Historic Documents Degraded Over Time”, Proceedings of the Second International Conference on Document Image Analysis for Libraries (DIAL’06), France, April 2006, pp. 350-357 [5] E. Dubois, A. Pathak, “Reduction of bleed-through in scanned manuscript documents”, Proceedings of the IS&T conference on image processing, image quality, image capture systems, Canada, April 2001, pp. 177-180 [6] C. L. Tan, R. Cao, P. Shen, “Restoration of Archival Documents Using a Wavelet Technique”, IEEE Transactions on pattern Analysis and Machine Intelligence, Vol. 24, October 2002, pp. 1399-1404. [7] Qian Wang, Tao Xia, Chew Lim Tan, Lida Li, “Directional Wavelet Approach to Remove Document Image Interference”, Proceedings of International Conference on Computer Vision and Pattern Recognition, volume 2, June 2003, pp. 534-539 [8] C. L. Tan, R. Cao, P Shen, J Chee and J Chang, “Text extraction from historical handwritten documents by edge detection”, 6th International Conference on Control, Automation, Robotics and Vision, ICARCV2000, Singapore, December 2000 63 [9] Ergina Kavallieratou, Stamatatos Stathis, “Adaptive Binarization of Historical Document Images”, 18th International Conference on Pattern Recognition (ICPR’06), Hong Kong, Aug 2006, pp. 742-745 [10] R.C. Gonzalez and R.E. Woods, “Digital Image Processing”, Pearson Education, India, 2003. [11] Chi Zhang, P.Wang, “A New Method of Color Image Segmentation Based on Intensity and Hue Clustering”, 15th International Conference on Pattern Recognition (ICPR’00), vol. 3, 2000, p. 3617 [12] Otsu, N., "A Threshold Selection Method from Gray-Level Histograms”, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 9, No. 1, 1979, pp. 62-66 [13] W. Niblack, “An Introduction to Image Processing", Prentice-Hall, Englewood Cliffs, NJ, 1986, pp. 115–116 [14] J. Sauvola and M. Pietaksinen, “Adaptive document image binarization”, Pattern Recognition. 33, 2000, pp. 225–236 [15] Q. Wang and C.L. Tan, “Matching of double-sided document images to remove interference”, IEEE Conference on Computer & Pattern Recognition, Hawaii, USA, 2001. [16] Lindsay I. Smith, “A Tutorial on Principle Component Analysis”, Feb 2002, http://csnet.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf [17] M.V. Sudhamani and C.R. Venugopal, “Segmentation of Color Images using Mean shift algorithm for feature extraction”, 9th International Conference on Information Technology (ICIT’06), India, December 2006, pp. 241-242