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Design and Implementation of a Low-Cost Embedded Iris Recognition System using Open Source

Author(s):

V. Bharath , Knowledge Institute of Technology; S. Kavisri, Knowledge Institute of Technology; M. Manikandan, Knowledge Institute of Technology; M. Ragul Bhavan, Knowledge Institute of Technology; Dr. N. Suthanthira Vanitha, Knowledge Institute of Technology

Keywords:

Raspberry Pi 3, Ultrasonic Sensor, Auto Refractor, Iris Capturing, Camera Module

Abstract

The biometric person authentication technique based on human iris is well suitable for application to any access control system requiring a high level of security. . The proposed idea is to do the eye capturing by using the Raspberry pi 3 to make the automated Iris capturing system. This can reduce the cost, will also increase accuracy and speed of process. Different algorithms were used to achieve the automated eye capturing with the maximum accuracy. For detecting the iris the Hybrid detection is used which involves Viola Jones and Skin Pixel detection technique. The viola jones method is accurate but the duration is high and in the skin color pixel method the duration is low but less accurate. Hence the Hybrid method is effective in which both the duration and the accuracy is high. The ultrasonic sensor is used to detect the person and when the person is detected, the image will be taken using the camera module and stored in the allocated location. Further, by algorithm the iris is separated and their image is displayed.

Other Details

Paper ID: IJSRDV6I20622
Published in: Volume : 6, Issue : 2
Publication Date: 01/05/2018
Page(s): 1008-1011

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