Share Email Print
cover

Proceedings Paper

Improving energy efficiency in handheld biometric applications
Author(s): David C. Hoyle; John W. Gale; Robert C. Schultz; Ryan N. Rakvic; Robert W. Ives
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

With improved smartphone and tablet technology, it is becoming increasingly feasible to implement powerful biometric recognition algorithms on portable devices. Typical iris recognition algorithms, such as Ridge Energy Direction (RED), utilize two-dimensional convolution in their implementation. This paper explores the energy consumption implications of 12 different methods of implementing two-dimensional convolution on a portable device. Typically, convolution is implemented using floating point operations. If a given algorithm implemented integer convolution vice floating point convolution, it could drastically reduce the energy consumed by the processor. The 12 methods compared include 4 major categories: Integer C, Integer Java, Floating Point C, and Floating Point Java. Each major category is further divided into 3 implementations: variable size looped convolution, static size looped convolution, and unrolled looped convolution. All testing was performed using the HTC Thunderbolt with energy measured directly using a Tektronix TDS5104B Digital Phosphor oscilloscope. Results indicate that energy savings as high as 75% are possible by using Integer C versus Floating Point C. Considering the relative proportion of processing time that convolution is responsible for in a typical algorithm, the savings in energy would likely result in significantly greater time between battery charges.

Paper Details

Date Published: 8 May 2012
PDF: 12 pages
Proc. SPIE 8406, Mobile Multimedia/Image Processing, Security, and Applications 2012, 84060N (8 May 2012); doi: 10.1117/12.918929
Show Author Affiliations
David C. Hoyle, U.S. Naval Academy (United States)
John W. Gale, U.S. Naval Academy (United States)
Robert C. Schultz, U.S. Naval Academy (United States)
Ryan N. Rakvic, U.S. Naval Academy (United States)
Robert W. Ives, U.S. Naval Academy (United States)


Published in SPIE Proceedings Vol. 8406:
Mobile Multimedia/Image Processing, Security, and Applications 2012
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)

© SPIE. Terms of Use
Back to Top