Energy Conservation in Biometric Algorithms
LCDR Robert Schultz
United States Naval Academy
1:00pm Friday, 19 October 2012, ITE 227
Whether using iris recognition to gain access to a secure facility or face recognition to unlock a cell phone, biometric signal processing is rapidly becoming a part of everyday life. Many algorithms are being implemented on portable devices that have a limited battery life. This talk will present some work, conducted at the USNA Center for Biometric Signal Processing, which indicates that significant energy savings can be obtained by using C versus Java and Integers versus software Floats in applications written for the Android operating system. A comparison of the effect of using Integers versus Floats on a modern iris recognition algorithm will also be presented.
LCDR Robert Schultz is a submarine officer that has been assigned as a Junior Permanent Military Professor of Electrical Engineering at the United States Naval Academy. His research interests include hyperspectral and biometric image processing. As a member of the USNA Center for Biometric Signal Processing, he has recently been working to identify more energy efficient methods for biometric algorithm implementation.