A comparative study on facial image retrieval using local patterns

Retrieving similar images from a dataset of images is always challenging for researchers, and it becomes more challenging under critical conditions like illumination variation and different facial expressions. Every image comprises three types of content, color, shape, and texture. Texture content of the image plays a vital role in the image retrieval process. Many researchers have been working on the image retrieval problem and have proposed many local descriptors for the last two decades. This study gives a comparative analysis of existing local descriptors using different facial image datasets. In recent trends, researchers retrieve similar images using deep learning techniques. This paper also discussed some of the existing Deep learning methods for retrieving similar images.