Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …

Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …

Optical deep learning based on diffractive optical elements offers unique advantages for
parallel processing, computational speed, and power efficiency. One landmark method is …

Iris segmentation plays an important and significant role in the iris recognition system. The
prerequisite for accurate iris recognition is the correctness of iris segmentation. However, the …

Biometric applications are very sensitive to the process because of its complexity in
presenting unstructured input to the processing. The existing applications of image …

Accurate segmentation and parameterisation of the iris in eye images still remain a
significant challenge for achieving robust iris recognition, especially in off‐angle images …

Segmentation is a core concept in image-processing applications. Its applications were
widely used in to computer vision, surveillance, robotic applications and medical imaging …

In any accurate iris recognition system segmentation of iris plays a vital role. The noise,
specular reflections, eyelid/eyelash obstruction, and intensity inhomogeneities in an image …

Most of the classical iris recognition systems require cooperation from users and assume
ideal conditions during iris image acquisition. In uncooperative and unconstrained …

An accurate iris segmentation method is crucial for the iris recognition system. The
conventional iris segmentation algorithms have poor adaptability when applied to …