Partial Template of Human Iris Patterns Recognition and Identification Using Neural Networks

Iris recognition is one of the most widely used biometric techniques for personal identification. Of all biometrics based techniques, the iris-pattern-based systems have recently shown very high accuracies in verifying an individual's identity. Each human iris has its unique visual pattern and local image features also vary from region to region, which leads to significant differences in robustness and distinctiveness among the feature codes derived from different iris regions. However, most state-of-the-art iris recognition methods use a uniform template size (20 X 480), where template generated from different patterns of the same person.

Provided by: International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE) Topic: Security Date Added: Feb 2013 Format: PDF

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