Research on face recognition algorithm based on digital image processing technology

With the rapid advancement of science and technology, face recognition technology has been increasingly applied across various domains. Digital image processing techniques have played a crucial role in optimizing face recognition algorithms. This paper begins by analyzing the background and requirements of related application cases, followed by the development of an integrated algorithm model that incorporates image preprocessing, feature extraction, and classification recognition. The algorithm was tested through dataset construction, environmental setup, and parameter configuration. The experimental results demonstrate significant improvements in the accuracy of face recognition. Additionally, the study highlights the limitations of the proposed approach, providing valuable insights for future algorithm optimization.