Segmentation Method based on Texture Unit Approach Derived on Local Directional Pattern (LDP)

Improved Iris Segmentation based on Local Texture

High performance human identification using iris biometrics requires the development of automated algorithms for robust segmentation of the iris region given an ocular image. Many studies have shown that iris segmentation is one of the most crucial element of iris recognition systems. While many iris segmentation techniques have been proposed, most of these methods try to leverage gradient info...

Rotationally Invariant Texture Classification Based on Fuzzy Texture Unit Approach

Rotation and scale invariant local binary pattern based on high order directional derivatives for texture classification

Article history: Available online 18 December 2013

Face Recognition Based on Local Directional Pattern Variance (LDPv)

Face recognition is becoming very popular tools for a successful human commuter interaction system. It seems to be a good compromise between reliability and social acceptance and balances security and privacy well. In this paper, we have presented a new appearance-based feature descriptor, the local directional pattern Variance (LDPv), to represent facial components and analyzed its performance...

Texture descriptor based on local combination adaptive ternary pattern

Material recognition has several applications, such as image retrieval, object recognition and robotic manipulation. To make the material classification more suitable for real-world applications, it is fundamental to satisfy two characteristics: robustness to scale and to pose variations. In this study, the authors propose a novel discriminant descriptor for texture classification based on a ne...