Progressive Pattern Matching Approach Using Discrete Cosine Transform

Abstract

The discrete cosine transform (DCT) is a well-known technology used in image compression. It can decompose a signal into N orthogonal real base vectors. Due to its energy compacting property, the features of a test character can be extracted progressively according to their importance such that the potential candidates which are not wellfitted for the test character can be pruned at earlier steps. Therefore, we are motivated to develop a progressive matching approach based on DCT for recognizing of handwritten characters in Chinese paleography. Experimental results show that our approach performs well in this application domain.