关键词: 图像处理, 文字区域提取, 敏感词检测, 深度学习, 限制玻尔兹曼机, 深信度网络

Abstract: In order to detect the sensitive words in the images fast, the means of deep learning is introduced to detect and recognize the words. It pre-processes the images and labels the connected region, uses two Restricted Boltzmann Machine（RBM） to judge and selects the text area in the connected region. The horizontal projection and the regional generation is used to segment character of the acquired text area. The BP neural network algorithm combines with the Deep Belief Network（DBN） algorithm to detect the sensitive information. The analysis of the detection theory of sensitive words and experiment data show that the new algorithm has low complexity and fast detection speed.

Key words: image processing, text region extraction, sensitive word detection, deep learning, Restricted Boltzmann Machine（RBM）, deep belief network