Generalized K–L transform based combined feature extraction

摘要

In this paper, we combine two kinds of features together by virtue of complex vectors and then use the developed generalized K–L transform (or expansion) for feature extraction. The experiments on NUST603 handwritten Chinese character database and CENPARMI handwritten digit database indicate that the proposed method can improve the recognition rate significantly.