A Novel Approach for Improving Dynamic Biometric Authentication and Verification of Human Using Eye Blinking Movement

• Published in: Wireless personal communications 2020-11, Vol.115 (1), p.859-876
• Main Authors: Saied, Marwa, Elshenawy, Ayman, Ezz, Mohamed M.
• Format: Article
• Language: English
• Subjects: Authentication; Biometrics; Blinking; Communications Engineering; Computer Communication Networks; Electronic devices; Engineering; Eye movements; Human motion; Networks; Signal,Image and Speech Processing; Spoofing
• ISSN: 0929-6212; 1572-834X
• DOI: 10.1007/s11277-020-07601-x

Biometric authentication is used in Smart devices to lock and unlock devices instead of a PIN. However, using devices in uncontrolled environments is highly susceptible to spoofing by replay attacks. As an example of biometrics is a static face authentication, attackers use face images of spoofed persons to unlock devices, which leads to insecure operations and lack of confidential information without the owner’s knowledge. We have proposed a novel dynamic biometric authentication system (DBAS) based on capturing person eye-blinking movements of a person in addition to face authentication instead of using static face authentication. Proposed DBAS take a sequence of using images as input by asking the user to follow an eye-blink sequence. Then proposed DBAS unlock the mobile devices based on the correct eye-blink sequence made by the person. The test results show that our method is effective and robust for the screen unlocks on smart devices with 98.4% accuracy.