The eyelids distance detection in gray scale images

In this paper a new method for finding the distance between eyelids, in order to determine the open or closed state of eye, has been introduced. For this aim, first the gray scale image of eye region is converted into a binary image. Next, a differential variance projection function is applied on the binary image of eye region in horizontally direction to show the uppermost and lowest points on the eyelid edges. Having the distance between these two points, the distance between two eyelids will be obtained. This distance may be used as a criterion in recognizing the open or closed state of eye. We have used numerous and different images to evaluate the efficiency of the presented method, and the obtained results have convinced us that the applied algorithm is efficient.