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As an important information carrier of visual communication, images convey information to the audience in an intuitive and vivid way. However, the image will unknowingly bring personal privacy informatidisclosure and other security risks. From the perspective of privacy protection in images, this paper deon eply integrates Face detection, face alignment methods and Image Encryption and decryption algorithms mixed with chaotic sequences, and proposes a face image Information encryption algorithm based on deep learning algorithm, namely FIIE (Face Image Information Encryption) algorithm. Used to protect the privacy of the core parts of the face in the picture. The specific description of FIIE algorithm is as follows: First, the FACE image in the WLDER FACE data set is used to train the MTCNN model, and the trained model is used to obtain the rectangular frame coordinates of the face in the image according to the face feature points. Then, a mask is generated by the above coordinates of the face region, and the generated mask is used to perform bit arithmetic between the original image and the Logistic chaotic sequence. Finally, the specific region of the face in the image is encrypted. Experiments show that this algorithm can accurately identify specific areas of facial information in images, realize effective encryption of facial information in images, and ensure the privacy and security of users.