This project utilizes an algorithm that differs from traditional cryptographic hash functions (such as MD5, SHA-1), as it focuses on analyzing the similarity of image content. It can generate similar hash values for images with slight differences, which is used to calculate image similarity. It supports algorithms like average hashing, perceptual hashing, and differential hashing, making it suitable for quickly identifying copyrighted images and other similar scenarios.