In this paper, we propose a deep multimodal fusion network to fuse multiple modalities (face,
iris, and fingerprint) for person identification. The proposed deep multimodal fusion …

Iris recognition under less constrained environment poses a challenge to be considered for
high-security applications. In this paper, discrete orthogonal moment-based features …

Iris recognition has been an interesting subject for many research studies in the last two
decades and has raised many challenges for the researchers. One new and interesting …

In spite of a fact that many standalone iris recognition solutions are successfully
implemented and deployed around the world, development of a reliable iris recognition …

IrisCode, the most influential iris recognition algorithm, has been extensively applied in
national identity programmes and border controls. Currently over one billion people …

When multiple image samples of a single eye are captured during enrolment the accuracy of
iris recognition systems can be substantially improved. However, storage requirement …

Multiple samples can be utilised at the comparison stage of a biometric system in order to
increase its biometric performance via information fusion or decision heuristics. It has been …

Recognizing humans in least-constrained environments is one of the key research goals for
academia and industry. At-a-distance eye region based human recognition using iris and …

A novel iris recognition system is proposed in this paper. The proposed system is able to
handle various challenging issues which may occur during image acquisition in near …