In this paper, human faces are detected using the skin color information and the Lines-of-
Separability (LS) face model. The various skin color spaces based on widely used color …

We present our study of the face recognition problem. Due to difference in human pose, face
expression, hairstyle, image style and lighting conditions, the problem is very difficult. To …

We presented a part of our study of the face recognition problem. A feature points extraction
by template matching and Gabor filtering has been described. A geometric approach to face …

Automatic human face recognition is required in numerous applications. In this paper, a new
approach for automatic face recognition system is developed based on 3D geometric face …

The human brain has the inborn characteristics to distinguish between faces. The human
brain has particular nerve cells for responding to local features of a scene, such as edges …

This paper presents the application of iris scan to improve the accuracy of existing face
recognition system using computer vision and machine learning. The motivation of this …