IRIS RECOGNITION SYSTEM FOR HIGH SECURITY ENVIRONMENT

摘要

A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is known as an inherently reliable biometric technique for human identification. It is also used for providing high security as well as accuracy. The algorithm implemented in software performs segmentation, normalization, feature extraction and matching. We used a Canny Edge Detection scheme to detect the iris boundaries in the eye's digital image. The wavelets for signal and image processing have provided a flexible tool for engineers to apply in various fields such as speech and image processing. In an iris recognition system, 2-D wavelet transform is used for preprocessing. The preprocessing helps to reduce the dimensionality of feature vector and to remove noise; nevertheless, the computational complexity is comparatively high. Thus 2-D Gabor wavelet transforms is used as a filter to reduce the dimensionality of feature vector; it can further reduce the computational complexity. Hence the extracted iris features are stored in RFID card and compared against the data acquired from a camera or a database for authentication. The proposed algorithm has superior performance in terms of security, accuracy and consistency compared with other previous published technology.