Fingerprint identification on a massively parallel architecture
T.R. Gowrishankar · 2003
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.>