The detection of human emotions has applicability in various domains such as assisted
living, health monitoring, domestic appliance control, crowd behavior tracking real time, and …

This paper sheds light over a new method for the recognition of British Sign language. The
proposed method uses Histogram of Oriented Gradients (HOG) for processing the images …

The main problem in face recognition system based on half-face pattern is how to anticipate
poses and illuminance variations to improve recognition rate. To solve this problem, we can …

The goal of the current research is to develop a novel face identification system utilizing the
Streamlit Python Library, with a particular emphasis on identifying and modifying human …

Faces in an image consists of complex structures in object detection. The components of a
face, which includes the eyes, nose and mouth of a person differs from that of ordinary …

Face recognition is an important technique and has drawn the attention of many researchers
due to its varying applications such as security systems, medical systems, entertainment. A …

Rapid increase in human population and their encroachment into forest areas have posed
several threats to human life and their livelihood. This has subsequently led to a demand for …

This work is part of a project dedicated to the development of a real-time multimodal
biometric identification system. In this kind of applications, face detection is an important step …

Face detection is a prominent research domain in the field of digital image processing
particularly in the field of video surveillance systems. Today is the world of video technology …

Now days, the task of face recognition is widely used application of image analysis as well
as pattern recognition. In biometric area of the research, automatically face & face …