Moment invariants are unique properties of an image that remain unchanged under transformations such as rotation, scaling, and translation, making them crucial for pattern recognition and computer vision applications. They provide a mathematical foundation for identifying and comparing shapes, ensuring that the recognition process is robust to variations in image orientation and size.