An Improved Method Based on Gabor Feature for Mathematical Symbol Recognition
An improved method based on Gabor feature for printed mathematical symbol recognition is presented in this paper. Elastic meshing technology is first applied to partition the character and get sampling points. Then, a set of Gabor filters are used to extract different directional features at each sampling point. In order to decrease the processing time, convolution operations are conducted with the real part of Gabor templates. Experimental results show that the proposed method has excellent performance on printed mathematical symbols.