Fusion of Face and Iris Biometrics on Mobile Devices Using Near-infrared Images

Abstract

With the wide use of cell phones and tablets, large amounts of private data are stored on mobile devices and personal information security has become a growing concern. Biometrics is able to provide encouraging personal recognition solutions to strengthen the security. This paper proposes a multimodal biometric system for mobile devices by fusing face and iris modalities. Face images are aligned according to eye centers and then represented by histograms of Gabor ordinal measures (GOM). Iris images are cropped from face images and represented by ordinal measures (OMs). Finally, the similarity scores produced by face and iris features are combined in the score level. Experiments are conducted on the CASIA-Mobile database which includes 1400 images of 70 Asians. The proposed system achieves impressive results and demonstrates a promising solution for personal recognition on mobile devices.