Statistical feature extraction based iris recognition system
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In general, the iris recognition systems have used the wavelet transform as feature extraction techniques. Since the wavelet transform does not have the shift-invariant property, the iris features are inconsistently extracted due to the eye image rotation and the inexact iris loc
In different areas of Biometrics, recognition by iris images in nowadays has been taken into consideration by researchers as one of the common methods of identification like passwords, credit cards or keys. Iris recognition a novel biometric technology has great advantages such a
The object of research is the algorithm piecewise linear approximation when applying it to selection facial features and compression its images. One problem areas obtain optimal ratio degree accuracy image reproduction, as well obtained features, which can be used search for peop
---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Biometric system is a reliable and highly accurate system for identification of individuals. Iris recognition system is a relativel
The randomness of iris pattern makes it one of the most reliable biometric traits. On the other hand, the complex iris image structure and the various sources of intra-class variations result in the difficulty of iris representation. Although, a number of iris recognition methods
Iris recognition is one of the most accurate identity verification system. Since its initial introduction by J. Daughman, many methods have been proposed to enhance the performance. Many methods have been proposed to feature extraction by many researchers. We present an overview