Application of wavelet analyses in literal recognition
Qiong Wu · 2004
In the pattern recognition,it is important to select and extract proper feature vector.In the paper,it is discussed that associated contents of literal recognition using the statistical classification method.Using wavelet decomposition and fractal dimension,the feature vector of literal is extracted.This method transforms 2_D graphic literals into 1_D graph which is decomposed by wavelet to get curves,then the feature vector is formed by calculating fractal dimension of several segments of curves.Some charcaters were tested using the method,the result is satisfied.