Handwritten Tifinagh Character Recognition Using Baselines Detection Features
Youssef Es-Saady, Mustapha Amrouch, Ali Rachidi, Mostafa El Yassa, Driss Mammass · 2014
We present in this paper a system of Amazigh handwriting recognition based on horizontal and vertical baselines detection features. After the character image preprocessing, the horizontal and vertical baselines of the character are estimated. Parameters such as baselines are used to derive a subset of baseline dependent features. The symmetry of the amazigh characters with horizontal and vertical baselines is better taken into account. Thus, these features are related to the densities of pixels and are extracted on binary images of characters using the sliding window technique. Finally, a multilayer perceptron is used for character classification. Experimental results using AMHCD database demonstrate the efficiency of the proposed system.