Iris Recognition Using Discrete Cosine Transform and Wavelet Packet Decomposition

Iris recognition is basic technology for personal identification and verification and is most reliable and accurate for biometric identification system. Iris recognition system gives security to the organization and Institutes from the unauthorized access . Digital templates encoded from iris pattern using mathematical and statistical algorithms allow the identification of an individual. In this paper for iris recognition, 2-D discrete cosine transformation is used for the compression of the image and wavelet packet decomposition is done, to obtain distinctive feature from an iris image and will give more effective results.