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A novel spoofing detection methodology using acoustics and liveness monitoring system
Mummidi, Abhishek
Mummidi, Abhishek
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t14076_Mummidi.pdf
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2014-12
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Thesis
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Electronic Thesis
Electronic dissertations
Electronic dissertations
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Abstract
Standard networking protocols can be very vulnerable to spoofing attacks when extra
precautions are not taken by applications to verify the identity. There are several ways to spoof
the facial recognition using photograph, video, and three-dimensional (3D) model of a valid user.
Studies show that there have been significant improvements in detecting photograph, video, and
3D model spoofing individually, but no such improvement in detecting all types of spoofing in a
single design. Recent studies also show that liveness monitoring using the facial features has
potential to improve security, especially in biometric systems. In this work, an omproved method
using acoustics and liveness monitoring system to better detect spoofing is introduced. The
proposed system includes an ultrasonic range sensing module, a light dependent resistor (LDR)
for detecting light intensity, and an eye blinking password is developed for liveness detection of
the users. Eye blinking password is generated with the help of local facial features such as eye
blinking and chin movement pattern using a real-time generic web-camera. The improper
lighting conditions are corrected by placing an external light source to provide suitable lighting
for the system. The proposed system is tested by conducting experiments using 20 valid users
and 80 other users with variations in user's expressions. According to the experimental results,
the proposed system achieves 100% face recognition accuracy and 100% liveness detection
performance.
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Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
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Wichita State University
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Copyright 2014 Abhishek Mummidi