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Fingerprint Verification Using Cloud Services with Message Passing Interface Over PC Clusters

Authors:
Fazal Noor
Majed Alhaisoni
Antonio Liotta

Keywords: PC Cluster; Normalized Correlation Method; Minutia Method; Cloud Services; Latency; Bandwidth; Message Passing Interface; Phase Correlation method; Log-Polar; communication to computation ratio.

Abstract:
Abstract—Nowadays cloud-computing services are being offered by various organizations. Peer-to-Peer (P2P) networks can be used as a collaborative computing environment to solve computationally intensive problems. In this work, we use a PC cluster to simulate a P2P network and present results of a computationally intensive image matching algorithm (fingerprint verification). Collective communications are used to transfer images to destination peers over a network. Communication to computation time ratio are calculated of transferring of fingerprint images of various sizes on the internet. As transfer of raw images are communication intensive, a proposed method is to use FBI approved Wavelet Scalar Quantization (WSQ) compression method at the source before transmitting to the destination nodes. We study the viability of fingerprint identification and/or verification service offered by cloud computing. In particular, we present a distributed fingerprint verification algorithm.

Pages: 30 to 36

Copyright: Copyright (c) IARIA, 2012

Publication date: September 23, 2012

Published in: conference

ISBN: 978-1-61208-238-7

Location: Barcelona, Spain

Dates: from September 23, 2012 to September 28, 2012