Paper
6 December 2002 Fixed-point arithmetic for mobile devices: a fingerprinting verification case study
Yiu Sang Moon, Franklin T. Luk, Ho Ching Ho, T. Y. Tang, Kit C. Chan, C. W. Leung
Author Affiliations +
Abstract
Mobile devices use embedded processors with low computing capabilities to reduce power consumption. Since floating-point arithmetic units are power hungry, computationally intensive jobs must be accomplished with either digital signal processors or hardware co-processors. In this paper, we propose to perform fixed-point arithmetic on an integer hardware unit. We illustrate the advantages of our approach by implementing fingerprint verification on mobile devices.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yiu Sang Moon, Franklin T. Luk, Ho Ching Ho, T. Y. Tang, Kit C. Chan, and C. W. Leung "Fixed-point arithmetic for mobile devices: a fingerprinting verification case study", Proc. SPIE 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII, (6 December 2002); https://doi.org/10.1117/12.452049
Lens.org Logo
CITATIONS
Cited by 7 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Mobile devices

Image processing

Personal digital assistants

Signal processing

Digital signal processing

Embedded systems

Feature extraction

RELATED CONTENT

Real-Time Signal Processing By Markovian Random Walk Approach
Proceedings of SPIE (December 16 1989)
A new framework for real-time Hough transform
Proceedings of SPIE (May 18 2004)
Speech biometric mapping for key binding cryptosystem
Proceedings of SPIE (May 17 2011)
A floating-point library for integer processors
Proceedings of SPIE (October 26 2004)

Back to Top