Research of Iris Recognition Algorithm Based on Fractal Geometry Theory

ABSTRACT

The rapid development of global economy and science and technology makes the modern society to the safety requirements more and more important. Personal identification system has been unable to meet the need of information security, people proposed biometric identification technology using biometric for human identification, such as fingerprints, iris and voice. The iris recognition technology with its non-invasive, high reliability advantages of rapid development is becoming the research focus in the field. Fractal geometry theory provides new ideas and methods to express nonlinear image information, the fractal dimension is an important parameter of fractal geometry, is a measure of complexity of irregular change, covering blanket dimension can better reflect the graphics changes in different resolution characteristics; missing is the fractal dimension and independent statistics, is a supplement to the fractal dimension, overcome the different texture characteristics may have the same fractal dimension of the problem. This paper presents a blanket and missing items based on the combination of texture feature extraction algorithm, can make full use of radiation in different resolution iris texture information and texture, classification ability make feature matrix has a better.

Keywords:

Iris recognition, score fusion, iris location, image match, code matrix feature extraction, non-separable wavelet.