In this page, we include some links that could be useful for you in order to fully attend IDIPS2013



You can find a lot about Matlab in the Matlab tutorials:



There is also a channel in youtube:


Except of the basics, please give emphasis on the Image Processing Toolbox.




Links and papers that are considered necessary in order to understand some of the lectures are mentioned below. For those lectures that are not mentioned here, no special background, except of the earlier lectures, is required.


Image Acquisition and Digitalization E.Stathi

Useful links for this lecture are:



Document Image Binarisation - I.Pratikakis

Some papers that will help you understand better this lecture, can be found in:


Improving OCR  by Using Language Resources - E.Stamatatos

Useful papers for this lecture are:

[1] Baeza-Yates, R. and G. Navarro. A Faster Algorithm for Approximate String Matching. In Combinatorial Pattern Matching (CPM'96), Springer-Verlag LNCS (1996).

[2] Jurafsky, D. and J. Martin (2000). Speech and Language Processing. Chapter 5: pages 141-163. Prentice Hall.

[3] Katz, S. M. (1987). Estimation of probabilities from sparse data for the language model component of a speech recogniser. IEEE Transactions on Acoustics, Speech, and Signal Processing, 35(3), pp. 400–401.

[4] Xiang Tong and David A. Evans (1996). A statistical approach to automatic OCR error correction in context. In In Proceedings of the Fourth Workshop on Very Large Corpora.





The greek game TAVLI consists of three parts, namely:





Learn and exercise for the contest!