Iris image quality assessment is very important in iris recognition systems. Its motivation is to improve the performance of iris recognition by assessing the quality of iris samples. It is closely related to the modules of iris image acquisition

human-computer interaction

performance evaluation

adaptive iris recognition and so on. With the development of non-ideal iris recognition techniques

iris image quality-assessment methods have been widely studied in recent years. In order to give the researchers a comprehensive knowledge about iris image quality-assessment

state-of-the-art methods are reviewed. The trend

technical solution and at last

the potential pointers of the iris image quality-assessment methods and the quality driven iris recognition techniques are discussed. With the advent of the era of big data

large scale iris recognition will become the hot topic. The study of iris image quality assessment is of great significance to promote the processing capacity of the iris recognition system.