基于HMAX模型的图像识别算法研究

t present, face age estimation based on deep learning has become a hot spot in the field of face research. Image recognition technology is a research hotspot in the field of computer vision. Hmax algorithm imitates the mechanism of human brain neural processing image information, and uses hierarchical perceptron to extract image features for classification, which has good performance in the field of recognition.When the image is rotated or the scale changes, the recognition accuracy will be affected. This paper improves the standard HMAX model, and proposes a RI-HMAX algorithm which improves the recognition accuracy and speed and is robust to rotation and scale. Experiments on caltech101 database and graz-02 data set show that the proposed algorithm is optimized in recognition performance. ?????