Efficient features for smartphone-based iris recognition

Authors

RITESH VYAS
TIRUPATHIRAJU KANUMURI
GYANENDRA SHEORAN
PAWAN DUBEY

DOI

10.3906/elk-1809-98

Abstract

Iris recognition has widely been used in personal authentication problems. Recent advances in iris recognition through 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.

Keywords

Iris recognition, mobile devices, hybrid features, Gabor wavelets

First Page

1589

Last Page

1602

Recommended Citation

VYAS, RITESH; KANUMURI, TIRUPATHIRAJU; SHEORAN, GYANENDRA; and DUBEY, PAWAN (2019) "Efficient features for smartphone-based iris recognition," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 27: No. 3, Article 3. https://doi.org/10.3906/elk-1809-98
Available at: https://journals.tubitak.gov.tr/elektrik/vol27/iss3/3