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Performance of parallel algorithms for a fingerprint image comparison system

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2 Author(s)
H. H. Ammar ; Dept. of Electr. & Comput. Eng., West Virginia Univ., Morgantown, WV, USA ; Zhouhui Miao

This paper addresses the problem of analyzing the performance of parallel algorithms for the training procedure of a neural network based fingerprint image comparison (FIC) system. The target architecture is assumed to be a coarse-grain distributed memory parallel architecture. Two types of parallelism: node parallelism and training set parallelism (TSP) are investigated. These algorithms are implemented on a 32 node CM-5. Theoretical analysis and experimental results comparing the performance of these algorithms are presented

Published in:

Parallel and Distributed Processing, 1996., Eighth IEEE Symposium on

Date of Conference:

23-26 Oct 1996