Adaptive Frechet Kernel based support vector machine for text detection

In this paper, a novel general paradigm for text detection using support vector machine (SVM) is proposed. Unlike prevailing techniques in the literature, our adaptive SVM incorporates information from each input image. In addition, for better classification results and higher efficiency, a novel kernel called the Frechet Kernel is presented for SVM classification. The adaptive SVM aims to serve as a general paradigm to improve the prevailing techniques. In the experiment, we apply the paradigm to a simple algorithm and successfully obtain a new competitive method for text detection.