“…It is also shown that by fusion of features the recognition rates can be improved [30]- [33]. For the latter task case, several classifiers have been developed or used including linear discriminant analysis [34], [35], Bayesian classifiers [2], Bayesian decision rule [36], k-nearest neighbor [25], [37], Hidden Markov model [38], [39], artificial neural network [40], [41], support vector machine (SVM) [6], [20], [21], [42], [43], and ensemble classifiers [20], [33], [41], [44], [45]. Among these classifiers, SVM (or SVM-based for ensemble strategy) classifier exhibits quite promising results [21], [26], [27].…”