Title :
Fingerprint identification on a massively parallel architecture
Author :
Gowrishankar, T.R.
Author_Institution :
George Mason Univ., Fairfax, VA, USA
Abstract :
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
Keywords :
computerised pattern recognition; parallel algorithms; Euler count; GAM I pyramid; adder pyramid; feature-based recognition; fingerprint identification; massively parallel architecture; orientation-independent recognition system; Automation; Data preprocessing; Feature extraction; Fingerprint recognition; Image processing; Image recognition; Parallel architectures; Pattern recognition; Sampling methods; Stochastic processes;
Conference_Titel :
Frontiers of Massively Parallel Computation, 1988. Proceedings., 2nd Symposium on the Frontiers of
Conference_Location :
Fairfax, VA
Print_ISBN :
0-8186-5892-4
DOI :
10.1109/FMPC.1988.47445
