INTERPRETATION OF HANDWRITTEN SINGLE-STROKE GRAFFITI USING SUPPORT VECTOR MACHINES
Hak‐Keung Lam, Jesús Prada · International Journal of Computational Intelligence and Applications · 2009
This paper presents the graffiti interpretation of one-stroke handwritten digits (0 to 9) and commands (backspace, carriage return and space) using support vector machines (SVMs). A number of SVM-based graffiti interpreters are proposed for the recognition of graffiti. The performance of the proposed SVM-based graffiti interpreters subject to various kernel functions and parameters are investigated. Simulation and experimental results are presented to show the applicability and the merits of various graffiti interpreters.