Facial recognition using multi edge detection and distance measure

Edge detection for facial expression recognition

Nowadays, Facial Expression Recognition is an active research subarea of computer vision because of its applications in different human activities. In this paper a method for detecting edge information in human face images is introduced, where Robinson Edge technique is applied. In addition, a thresholding threshold values are proposed to reduce the noise in the images with the aim to improve r...

Facial Expression Recognition Based on Edge Detection

Relational Over the last two decades, the advances in computer vision and pattern recognition power have opened the door to new opportunity of automatic facial expression recognition system[1]. This paper use Canny edge detection method for facial expression recognition. Image color space transformation in the first place and then to identify and locate human face .Next pick up the edge of eyes...

Facial feature detection using distance vector fields

A novel method for eye and mouth detection and eye center and mouth corner localization, based on geometrical information is presented in this paper. First, a face detector is applied to detect the facial region, and the edge map of this region is calculated. The distance vector field of the face is extracted by assigning to every facial image pixel a vector pointing to the closest edge pixel. ...

Facial Gesture Recognition Using Correlation And Mahalanobis Distance

Augmenting human computer interaction with automated analysis and synthesis of facial expressions is a goal towards which much research effort has been devoted

Ranking of generalized fuzzy numbers using distance measure and similarity measure