Abstract: In this article, we describe the recognition system of Amazigh handwritten letters. The SURF descriptor, specifically the SURF-36, and the GIST descriptor are used for extracting feature vectors of each letter from our database which consists of 25740 manuscripts isolated Amazigh characters. All the feature vectors of each letter form a training set which is used to train the neural network so that it can calculate a single output on the information it receives. Finally, we made a comparative study between the SURF-36 descriptor and GIST descriptor.

H. Moudni, M. Er-rouidi, M. Oujaoura and O. Bencharef, “Recognition of Amazigh characters using SURF & GIST descriptors” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Selected Papers from Third international symposium on Automatic Amazigh processing SITACAM13, 2013. http://dx.doi.org/10.14569/SpecialIssue.2013.030208

@article{Moudni2013,
title = {Recognition of Amazigh characters using SURF & GIST descriptors},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Selected Papers from Third international symposium on Automatic Amazigh processing SITACAM13}
doi = {10.14569/SpecialIssue.2013.030208},
url = {http://dx.doi.org/10.14569/SpecialIssue.2013.030208},
year = {2013},
publisher = {The Science and Information Organization},
volume = {3},
number = {2},
author = {H. Moudni and M. Er-rouidi and M. Oujaoura and O. Bencharef},
}