Recognition of complex static hand gestures is a challenging problem due to the complexity
of hand gestures, which are rich in diversities because of high degrees of freedom involved …

Automatic and robust hand gesture recognition remains challenging after many decades of
study. Human beings are able to recognize a variety of hand gestures with 100% accuracy …

Hand gesture recognition has become very popular in the field of human–computer interface
in recent years. Hand region identification is a fundamental task in most vision-based …

20 H. Badi et al. used to describe the hand gesture and treat the rotation problem in addition
to the scaling and translation. The back-propagation learning algorithm is employed in the …

The goal of static hand gesture recognition is to classify the given hand gesture data
represented by some features into some predefined finite number of gesture classes. The …

Hand sign recognition is one of most challenging issues in computer vision and human
computer interaction, and many researchers tackle this issue. In this research, we focus on …

This paper proposes a static hand gesture recognition method with low computation and
memory consumption for wearable applications. The hand contour is chosen as the hand …

Hand segmentation is the initial step for hand posture recognition. To reduce the effect of
variable illumination in hand segmentation step, a new CbCr-I component Gaussian mixture …

This paper presents a contactless hand biometric system at unrestricted hand pose
environment. A new preprocessing technique is proposed for defining the finger contour …

In this paper, we describe a novel sensor device which recognizes hand shapes using wrist
contours. Although hand shapes can express various meanings with small gestures …