i-Door: Intelligent Door Based on Smart Phone

Abstract

Face recognition system have been widely developed. The machine vision system becomes an interest of many researchers in various fields of science. It provides the most important characteristic of natural interaction that is personalization. Automatic face recognition is a challenging problem, since human faces have a complex pattern. This paper presents a method for recognition of frontal human faces on gray scale images. The system is developed so that user can access the room just stand in front of the webcam. The webcam will send the image captured to the computer for recognition. In the proposed method, Discrete Cosine Transform (DCT) is used to extract the facial feature of an image the distance between the of the test image and train I and Euclidean Classifier is used to for the selection of best match between test image and trained image that has already been stored in database. When match occurred, computer will send signal to the microcontroller to open the lock through UART, else computer will send the unrecognized image to the owner’s mobile. When owner wants to open the door for the visitor then, using his mobile owner will send signal to the microcontroller to unlock the door. This paper will develop an intelligent door based on smart phone that can be implemented in real-life applications.