Open Access

A Massively Parallel Face Recognition System

EURASIP Journal on Embedded Systems20062007:072316

https://doi.org/10.1155/2007/72316

Received: 12 April 2006

Accepted: 5 October 2006

Published: 21 December 2006

Abstract

We present methods for processing the LBPs (local binary patterns) with a massively parallel hardware, especially with CNN-UM (cellular nonlinear network-universal machine). In particular, we present a framework for implementing a massively parallel face recognition system, including a dedicated highly accurate algorithm suitable for various types of platforms (e.g., CNN-UM and digital FPGA). We study in detail a dedicated mixed-mode implementation of the algorithm and estimate its implementation cost in the view of its performance and accuracy restrictions.

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Authors’ Affiliations

(1)
Department of Information Technology, University of Turku
(2)
Turku Centre for Computer Science (TUCS), University of Turku

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Copyright

© Lahdenoja et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.