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With the development of science and technology, information security is becoming more and more important in all fields. Because of its unique nature, biometric identification technology stands out in the traditional recognition field. Among them, iris recognition is the most secure and ideal biometrics technology with high reliability and diversity. An improved iris localization algorithm is proposed. The pupil boundary is corrected when the pupil area is divided into two values, the iris location accuracy is improved, and the recognition speed is effectively improved. Iris recognition algorithm is the core of the whole system. In order to make iris recognition have good effect, iris image processing is needed. This paper analyzes the principle and realization method of Gabor filter, studies the iris recognition algorithm of Daugman, designs and completes the iris image preprocessing, feature extraction, the construction of two-dimensional Gabor filter and parameters selection. Through simulation experiments, the iris recognition can be completed well, the speed of the iris recognition is very fast and the effect is better.