A New IRIS Normalization Process For Recognition System With Cryptographic Techniques
Biometric technologies are the foundation of personal
identification systems. It provides an identification based on a
unique feature possessed by the individual. This paper provides a
walkthrough for image acquisition, segmentation, normalization,
feature extraction and matching based on the Human Iris
imaging. A Canny Edge Detection scheme and a Circular Hough
Transform, is used to detect the iris boundaries in the eye’s
digital image. The extracted IRIS region was normalized by
using Image Registration technique. A phase correlation base
method is used for this iris image registration purpose. The
features of the iris region is encoded by convolving the
normalized iris region with 2D Gabor filter. Hamming distance
measurement is used to compare the quantized vectors and
authenticate the users. To improve the security, Reed-Solomon
technique is employed directly to encrypt and decrypt the data.
Experimental results show that our system is quite effective and
provides encouraging performance.
Keywords: Biometric, Iris Recognition, Phase correlation, cryptography, Reed-Solomon
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