The Design of the wireless channel-degraded face image optimization recognition algorithm aims to solve the problem of reduced image quality due to wireless transmission and thus reduce the drop in recognition accuracy. A new optimization recognition algorithm has been put forward, and at the same time, a way to preprocess the degraded image, enhance its features, and improve the clarity of the image has also been introduced. Many attributes and a combination of local and global features will be employed to increase the accuracy and robustness of the recognition. Based on the experiment, it can be seen that this algorithm has improved the recognition rate of all kinds of degraded face images and has good application prospects; thus, it offers a new solution for face image recognition in wireless communication.