Font Recognition of Single Chinese Character Based on Wavelet Feature
Ding Xiao · Dianzi xuebao · 2004
Printed character image contains the information of characters and the information of fonts.Font information is essential in layout analysis and reconstruction,and is helpful to improve the performance of character recognition system.An algorithm for font recognition of single Chinese character is proposed,which needs no prior knowledge of characters.The new algorithm can recognize the font of a single Chinese character while existing methods are all based on a block of text.We extracted wavelet feature from a single character image and employed Box Cox transformation and LDA technique to get the final feature for font recognition,which was used by a MQDF classifier.Experiment shows that our method can recognize the font of a single Chinese character effectively and a recognition rate of 97.35% is achieved.