期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：10
页码：229-240
DOI：10.14257/ijhit.2015.8.10.21
出版社：SERSC
摘要：In this paper, we present two comparisons in isolated printed Tifinagh characters recognition, in fact the first comparison is between four hybrid methods exploited in features extraction which are the retinal coding combined with the Hu then with Legendre then with Zernike invariant moments, finally with these tree moments at the same time; in contrast the second comparison is performed in order to deduce what is the most powerful between both kernel functions used in the support vectors machines classifier. For this purpose we have used for pre-processing each character image the median filter, the thresholding, the normalization, the thinning, the centering and the skeletonization techniques. Furthermore, the experiments results that we have obtained demonstrates really that the most powerful hybrid method is that combines between retinal coding and all tree invariant moments concerning features extraction while the Gaussian kernel is more performant than that polynomial concerning classification.
关键词：Isolated printed Tifinagh characters recognition; median filter; ; thresholding; normalization; thinning; centering; skeletonization; retinal coding method; ; Hu; Legendre; Zernike invariant moments; the support vectors machines
