Face Recognition and Expression Analysis Technology of Image Signal Processing in Digital Media

With the rapid development of digital media technology, image analysis plays a vital role in the fields of digitalization and informatization. This article will provide an in-depth explanation of face recognition and classification, morphological modeling principles, and processing methods. Through the analysis and research on feature extraction of graphic signals, this article designs corresponding algorithms and uses MATLAB toolbox diagram software to verify the experimental results. Research shows that the recognition rate of angry and happy expressions is 100% within a distance of 300m. Then, like the recognition rate of the other three expressions, as the recognition distance increases, the overall trend decreases, but the overall recognition rate is above 90%. This shows that the recognition accuracy of this system is relatively high. At the same time, the lowest error and omission rate of this system is 0%, and the highest error and omission rate is 10%.