A Propitious Iris Pattern Recognition Using Neural Network Based FFDTD and HD Approach

Provided by: International Journal of Computer Science and Telecommunications
Topic: Security
Format: PDF
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. An iris recognition system is a highly secure and confidence biometric identification system. In this paper, the iris recognition system is considered by using a neural network based feed forward distributed time delay and Hamming Distance (HD). Hough transform is the standard algorithm used for segmenting the iris patterns. Daugman's rubber sheet model is used for normalization and unwrapping. Gabor filter is used for feature extraction.

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