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 53 ms per recognition of one frame with a recognition rate at 92.7%.
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