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

Yung Hui Li, Po Jen Huang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

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 25 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.

Original languageEnglish
Article number1281020
JournalMobile Information Systems
Volume2017
DOIs
StatePublished - 2017

Fingerprint

Dive into the research topics of 'An Accurate and Efficient User Authentication Mechanism on Smart Glasses Based on Iris Recognition'. Together they form a unique fingerprint.

Cite this