Reverse Face Image Search Engine

Abstract

Face recognition is a technology of identifying an unknown face image. There are many different usages with face recognition like verification for security and criminal identification. Therefore, this project aims to develop an application with the use of the face recognition library which is presented by Adam Geitgey. Reverse image search is getting popular and useful nowadays. Companies like Google and Bing have this feature to find out related images from the web by using a face or object image. However, this feature is restricted to photos that are published online. Imagine a photographer who takes a lot of photos in a party and he wants to distribute back the photos to the corresponding person, it is hard for him to classify all the photos manually on the computer. With this in mind, this project presents a face image search engine using face recognition technology for users who do not want to publish their photos online and provide a simple way to categorize the images. By entering either face image or name, the application can classify face images and find out all the related photos in the database. This application obtained a satisfactory performance to detect the face image with the same identity as the input.