Iris Movement Detection by Morphological Operations for Robotic Control

The main aim of this paper is to develop an efficient interface to track the iris movement and to use this information to control the direction of robotic vehicle. Interacting with real or virtual objects with help of a human eye is gaining popularity. This paper gives information about morphological operations to detect eyeball movement and how we can use it to move a robot in direction of the line of sight of the user. Through a web camera, we continuously capture the photographs of either the left or the right eye. Since the target eye is stationary with respect to the camera, so accurate and fast movement is detected in the eye region of the photograph. Then performing the morphological operations on the captured eye images, we are generated digital codes. Then send this information to the robotic vehicle by wireless link. The robotic vehicle receives the digital data and performs some operation on it. According to the digital data the robotic vehicle controls its direction. The eye blinking feature is also used by the algorithm to control the starting and stopping of robotic vehicle. A high speed and accuracy tracking scheme using Evolutionary Video Processing for eye detection and tracking is proposed. One of the future challenges in the development of iris recognition systems is their incorporation into devices such as personal computers, digital camera and embedded devices. In such applications, the computational complexity and noise tolerance of the recognition algorithm play an important role. This paper addresses the computational complexity of the necessary first step in iris recognition, namely iris detection. High resolution images not only provide high recognition rate but also useful in safeguarding the iris recognition system from fake iris attack . Index Terms -Iris detection, Morphological Operations, MATLAB, Hardware Implementation.