Title :
A Faster Method for Chinese Font Recognition Based on Harris Corner
Author :
Shuye Zhang ; Lianwen Jin ; Dapeng Tao ; Zhao Yang
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
A new fast font recognition method based on Harris corners is proposed in this paper. According to our observation, we find out that the font discriminative information is mainly hidden in some interesting points of characters. Based on this discovery, we extract the texture feature of the interesting points. The Harris corners are extracted as the interesting points. Experimental results show that our method is 20 times faster than the traditional Gabor features based method while keeping an almost equal accuracy.
Keywords :
Gabor filters; character recognition; edge detection; feature extraction; image classification; image texture; support vector machines; Chinese characters; Chinese font recognition; Gabor features based method; Harris corner extraction; SVM classifier; font discriminative information; font recognition method; texture feature extraction; Accuracy; Character recognition; Feature extraction; Gabor filters; Kernel; Noise; Testing; Font recognition; Harris corner; character independent; local texture analysis;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
DOI :
10.1109/SMC.2013.728
