In recent years, visual object tracking has become a very active research area. An
increasing number of tracking algorithms are being proposed each year. It is because …

Face recognition is the process of identifying people through facial images. It has become
vital for security and surveillance applications and required everywhere including …

Aiming at the defect of Local Binary Pattern (LBP) and its variants, this paper presents a new
modeling of the conventional LBP operator for texture classification. Named Attractive-and …

Although iris recognition has achieved big successes on biometric identification in recent
years, difficulties in the collection of iris images with high resolution and in the segmentation …

This paper presents an ensemble face recognition system which makes use of the novel
local descriptor called Dense Local Graph Structure (D-LGS) which is exploited from …

In this study, we introduce a recent multicriteria decision theory concept of a new,
generalized form of Choquet integral function and its application, in particular to the problem …

We present a novel framework for efficient and robust facial feature representation based
upon Local Binary Pattern (LBP), called Weighted Statistical Binary Pattern, wherein the …

Object recognition applications can be made with deep neural networks. However, this
process may require intensive processing load. For this purpose, hybrid object recognition …

Image retrieval procedures locate interest points and consider the features as the visual
property of an image in computer vision. These primitive features define visual attributes as …

This paper proposes an image matching algorithm (L-SURB algorithm) based on the SURF
algorithm and the ORB algorithm. The process of algorithm can be divided into four steps …