Abstract：To deal with low efficiency and long-time consumption in verifying OSD (On-Screen-Display) of video devices, this paper devised an automatic OSD verification system. The system consisted of three parts. OSD area location was achieved by synthesizing statistical characteristics. Single character was then segmented based on improved Otsu algorithm. Finally, Gabor features and improved BP neural network were used to recognize these characters. The experimental results show that this system costs average 53ms per recognition of one frame with a recognition rate at 92.7%.
向荣 周慧娟. 基于Gabor特征与BP神经网络的屏幕显示自动校验系统[J]. 计算机应用, 2013, 33(05): 1463-1466.
XIANG Rong ZHOU Huijuan. Automatic on-screen-display verification system based on Gabor features and BP neural network. Journal of Computer Applications, 2013, 33(05): 1463-1466.
2013, Vol. 33 
