REALTIME FACE RECOGNITION BASED ON AUGMENT REALITY

This document articulates the intent to create face recognition system based on Augment reality. The basis of this study is on real-time image detection and processing. It’s a new convenient measure that allows users to gain information on imagery right on the spot. In Augment reality, one of the key elements to consider is object recognition technology also known as object detection in digital image processing. This term refers to an ability to identify the form and shape of different objects that caught by the device’s camera. Past studies have revealed attempts to create image-based applications but have only gone up to creating image finders that only work with images that are already stored within some form of database. Android platform is rapidly spreading around the world and provides by far the most interactive and technical platform for smart-phones. This is why it was important to base the study and research on it. The Eigen face algorithm and principal component analysis is employed for object detection. The work consists of three stages. First is image capturing by using a mini camera, and have to transfer to the image processing platform. Second is object recognition by using the recognition algorithm. Third is speech output – the filtered text will be shared into system to get an audio speech output.