Title :
Gray-scale character image recognition based on fuzzy DCT transform features
Author :
Wang, Xuewen ; Ding, Xiaoqing ; Liu, Changsong
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Abstract :
We propose a method for recognizing gray-scale text images with noise and of extraordinary low resolution. First, a fuzzy classification of pixels in the gray-scale character images is applied to form the fuzzy attributed pixel graph using integral ratio techniques. Second, a DCT transform is applied on this fuzzy graph and parts of the frequency domain components are selected and compressed to produce the features for recognition. By using the modified quadratic discriminant function in the classifier, we achieve satisfactory recognition results with the average recognition rate of 96.82% on 15 pixel×15 pixel character images and at the speed of over 30 characters/s
Keywords :
data compression; discrete cosine transforms; feature extraction; image classification; image coding; image recognition; optical character recognition; 15 pixel; 225 pixel; fuzzy DCT transform features; fuzzy attributed pixel graph; fuzzy classification; fuzzy graph; gray-scale character image recognition; gray-scale text images; integral ratio techniques; modified quadratic discriminant function; Character recognition; Degradation; Discrete cosine transforms; Feature extraction; Gray-scale; Image processing; Image recognition; Image resolution; Optical character recognition software; Pixel;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.906056
