Image quality is a key issue affecting the performance of biometric systems. Ensuring the
quality of iris images acquired in unconstrained imaging conditions in visible light poses …

Local binary pattern (LBP) is a multi-applicable texture descriptor applied in machine vision.
Despite its outstanding abilities in revealing textural properties of image, it is sensitive to …

The popularity and affordability of handheld imaging devices, especially smartphones, along
with the rapid development of social media such as Facebook, Flickr, and YouTube have …

Local binary pattern (LBP) is an efficient texture descriptor with increasing applications in
machine vision. Notwithstanding the great ability of LBP in revealing texture features of …

Ensuring sufficient quality of iris images acquired by handheld imaging devices in visible
light poses many challenges to iris recognition systems. Many distortions affect the input iris …

Image rotation and scale change can significantly degrade the efficiency of local descriptors
in blurred image matching. Conventional local image descriptors often only employ the …

In this paper, a new approach for texture classification called wavelet domain majority
coupled binary pattern is proposed. Here, the single-level wavelet transform is applied …

Radon transform based on complex shape detection is one of the most important challenges
in the field of pattern recognition. Finding a robust transform for extracting and identifying …

Image quality is a key issue affecting the performance of biometric systems. Ensuring the
quality of iris images acquired in unconstrained imaging conditions in visible light poses …