Abstract: Iris recognition technology is one of the most promising biological recognition technologies.
As the core procedure of iris recognition, matching and evaluation directly affect the accuracy of iris
recognition. In this paper, a novel iris matching algorithm based on the weighted phase difference is
proposed. The key steps of iris recognition are: First, resample the iris image which is well located.
Second, normalize the resampling points to obtain a rectangular iris image. Then, process the iris image
in Fourier space. Finally, the newly suggested algorithm utilizes all the phase information of the iris
image and partial amplitude information to do irises matching procedure. Iris texture information is
mainly concentrated to the pupil, where the texture information is rather intensive. Here, we propose a
novel method based on the weighted function of phase difference, which can effectively highlight the
intensive iris texture information in the low frequency part and improve the matching efficiency. The
experimental results show that the algorithm we propose improves greatly in accuracy and computation
speed, which is a good substitute for the core procedure of iris matching and evaluation.

Key words: iris recognition, phase difference, match algorithm, biological recognition technology