The Iris Recognition Algorithm Based On Wavelet Transform The Design And Realization

With the rapid development of information technology, the research on information security has become one of important topics. The identity recognition based on the biology characteristics of human body becomes more important. The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc, the iris has some advantages such as uniqueness, stability, high recognition rate, and non-infringing etc. Hence the iris recognition technology has recently become popular in identity recognition.In this thesis the developing situation and applying prospect, the advantage and disadvantage, and the basic principle about the iris recognition technology were introduced. By analyzing and comparing the several iris recognition methods, the research on several key technologies in allusion to the iris localization, the normalization, the feature extraction, the pattern matching etc was carried on. The main work was accomplished in the paper as following:Firstly, we pre-process the iris image. At begin, we use Canny operator to detect the edge of iris image. Then we transform intensity of edge image and handle its threshold. At last through the Hough transformation, we get the radius and centers of iris's inner and outer boundary. Moreover, we use similar method to eliminate the noise of eyelid.Secondly, by the wavelet transform being used to extract the texture characteristic of the normalized iris image, the method of feature extraction based on the Coif N wavelet was suggested in this paper.Thirdly, the Hamming distance is used to match two iris codes. The experimental results indicated that the iris recognition methods proposed in this article were easily realized, and had good efficiency; moreover, it could overcome problems such as noise etc existed in the present iris recognition algorithms.