Neural Networks for Iris Recognition: Comparisons between LVQ and Cascade Forward Back Propagation Neural network Models, Architectures and Algorithm
Shivani Godara · IOSR Journal of Engineering · 2013
In this research, Iris recognition is a proven, accurate means to identify people.In this paper, it includes the preprocessing system, segmentation, feature extraction and recognition.an iris recognition system was suggested based on two Artificial Neural Network (ANN) models separately: cascade forward (CFBPNN) and linear vector quantization (LVQ).Comparison results showed that linear vector quantization (LVQ) was the best training algorithm for the iris recognition system.Linear vector quantization (LVQ) is faster than cascade forward (CFBPNN).