Author(s)

Huijie Guo, Yiliang Han and Chaonan Wang

Corresponding Author

Huijie Guo

ABSTRACT

An iris image enhancement algorithm is proposed. By analyzing the grayscale distribution of serial iris images, the collected iris images are detected whether they are over-bright, too dark or uneven in brightness. For over-bright or too dark iris images, the stability of iris recognition is improved through interactive operations. For iris images with uneven brightness distribution, the histogram distribution fitting equalization method is used to modify the brightness. Therefore, the influence of iris distortion and uneven grayscale on the accuracy and real-time of iris recognition under complex illumination conditions can be solved. Consequently, the adaptability to complex illumination environment of iris recognition can be improved, which is beneficial to improve the robustness of iris recognition system.

KEYWORDS

Iris Recognition, Image Enhancement, Grayscale Distribution, Distortion Correction