Fingerprint identification on a massively parallel architecture

A feature-based recognition scheme for fingerprint identification on a massively parallel system is presented. The algorithm provides an orientation-independent recognition system that utilizes the features offered by massively parallel architectures. Implementation of this algorithm on the GAM I pyramid to extract the different features is discussed. The use of an adder pyramid that is incorporated in GAM I architecture for determining the Euler count that is used to recognize the loops in the pattern is also highlighted. The results of identification of simulated patterns on the GAM I pyramid are presented.<
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