It is advantageous to improve the efficiency and accuracy of video information processing through fast and accurate text area location and recognition of video images.The Gabor filter has been used to extract the texture features of video images in the four directions of horizontal

vertical

left-failing and right-falling.Then

by RBM layer increment depth learning algorithm

a depth belief network has been structured

and at the same time

the text region location for the texture feature images has been realized.The paper also studied the feasibility and recognition effect about using morphological process and OCR character database to realize the video image text recognition.The test results showed that the proposed optimized depth learning algorithm combining with morphology character recognition method can not only realize the accurate location of the text region for video images

but also improve the efficiency and accuracy of the character recognition.