Efficient features for smartphone-based iris recognition

Abstract

Iris recognition has widely been used in personal authentication problems. Recent advances in iris recognitionthrough visible wavelength images have paved the way for the use of this technology in smartphones. Smartphone-based iris recognition can be of significant use in financial transactions and secure storage of sensitive information. This paper presents a hybrid representation scheme for iris recognition in mobile devices. The scheme is called hybrid because it firstly makes use of Gabor wavelets to reveal the texture present in the normalized iris images, and then extracts statistical features from different partitions of Gabor-processed images. The standard mobile-iris database, called MICHE, is used for investigating the performance of the proposed approach. The comparison of the proposed approach with other widespread iris recognition approaches proves its efficacy