Research on Image Recognition Algorithm Based on Depth Level Feature

Zhang, Chan; Luo, Jia

In order to solve the problem that the traditional image recognition algorithm can not guarantee a relatively stable recognition accuracy and poor robustness under a variety of interferences, the image recognition algorithm based on depth level features is studied. After preprocessing, such as filtering and enhancing, the image to be recognized is segmented. The segmented image is input into convolution neural network, and the feature of depth level is extracted from the neural network. The feature points of the extracted deep level features are matched to realize image recognition, and the algorithm of image recognition based on the deep level features is designed. Compared with the traditional image recognition algorithm, the designed image recognition algorithm can ensure a more stable recognition accuracy and has better robustness.