期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2014
卷号：7
期号：6
页码：295-306
DOI：10.14257/ijhit.2014.7.6.25
出版社：SERSC
摘要：In this research, we present two comparative studies; the first one is between two methods of features extraction which are the mathematical morphology, the zoning and the hybridization of these two methods. The second comparative study is between both supervised methods used in learning-classification which are the Multi-Layer Perceptron (MLP) and the Support Vector Machines (SVM) applied to cursive handwritten Tifinagh characters recognition. The obtained experimental result demonstrates that the hybrid method is most efficient and the SVM is more performing than the MLP.
关键词：The cursive handwritten Tifinagh characters; the thresholding; the centering ; and the normalization techniques; the zoning and the mathematical morphology methods; the ; Multi-Layer Perceptron (MLP); The Support Vectors Machines (SVM)
