The Iris Recognition Algorithm Based On Wavelet Transform

With the increasing emphasis on security, automated personal identification basedon biometrics has been receiving extensive attention over the past decade. Iris recognition, a kind of biological characteristic recognition, springs up as a result of the social and economical development, and it shows great advantages. Iris recognition technology with its huge potential is relatively new among different kinds of biometric recognition technologies. For example, the characteristics of one's iris are steady all one's life, the capturing of iris image is non-invasive, and issues of iris possess the characters of living issues on account of the zooming process of pupils, which prevents counterfeiting.A typical iris recognition system includes iris imaging, iris location, iris recognition and pattern matching. It involves numerous displine domains, such as computer vision and digital image processing, wavelet theory, pattern recognition etc. Iris location and recognition are the key of iris recognition system.In this paper we have introduced the birth, development, iris recognition system and current situation of research on the iris recognition technique. Then the exisiting algorithms on iris location are studied and the disadvantages are pointed. A new approach based on edge detection, mathematic morphology and probability statistic is put forward. After studing the means of Daugman's encode of iris texture and W.W.Boles'extraction the unique features by the zero-crossings of the wavelet transform, we adopted wavelet multi-resolution analysis that extract the feature. The experiment results show that this location algorithm is faster and this encoding method is effective and reasonable.At the end of this thesis some existing problems are pointed out, and then the good future of iris recognition technology is predicted.