English Character Recognition Based on Feature Combination

In order to solve the polluted English character recognition problem with interference of external noise, a new approach based on feature combination and BP network is presented in this paper. By extracting the structural features and the statistical features from the English characters, respectively, the approach can include more classify information. Subsequently, two kinds of features are normalized and further are combined. For illustration, the combined features are sent to the classifier such as BP network, which is utilized to show the feasibility of the new approach in solving the interference of external noise and accomplish the recognition. Experimental results show that the convergent performance of BP network trained by the combined features is only within 184 epochs while compared with that of BP network trained by the other feature vectors. The method based on combined features can effectively solve the interference of external noise and thus superior performance in terms of English character recognition capability can be achieved.