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Mobile Information Systems
Volume 2017 (2017), Article ID 1281020, 14 pages
Research Article

An Accurate and Efficient User Authentication Mechanism on Smart Glasses Based on Iris Recognition

Department of Computer Science & Information Engineering, National Central University, Taoyuan 32001, Taiwan

Correspondence should be addressed to Yung-Hui Li

Received 9 December 2016; Revised 21 March 2017; Accepted 11 April 2017; Published 13 July 2017

Academic Editor: Paolo Bellavista

Copyright © 2017 Yung-Hui Li and Po-Jen Huang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In modern society, mobile devices (such as smart phones and wearable devices) have become indispensable to almost everyone, and people store personal data in devices. Therefore, how to implement user authentication mechanism for private data protection on mobile devices is a very important issue. In this paper, an intelligent iris recognition mechanism is designed to solve the problem of user authentication in wearable smart glasses. Our contributions include hardware and software. On the hardware side, we design a set of internal infrared camera modules, including well-designed infrared light source and lens module, which is able to take clear iris images within 2~5 cm. On the software side, we propose an innovative iris segmentation algorithm which is both efficient and accurate to be used on smart glasses device. Another improvement to the traditional iris recognition is that we propose an intelligent Hamming distance (HD) threshold adaptation method which dynamically fine-tunes the HD threshold used for verification according to empirical data collected. Our final system can perform iris recognition with 66 frames per second on a smart glasses platform with 100% accuracy. As far as we know, this system is the world’s first application of iris recognition on smart glasses.