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In this paper, we propose a new method of eye detection based on Viola & Jones detector, skin color and eye template. Our method is processed into three steps: In the first step, faces are detected by using the Viola & Jones detector. In the second step, face images are segmented into skin regions and non-skin regions with a threshold calculated by a combination of rules proposed on elements of the three color spaces RGB, HSV and YCbCr. The third step is the matching of an eye template with non-skin regions. Our method is tested on the FEI database available online, as well as a set of personal images and other from the Internet. The obtained results are satisfactory in terms of the quality of detection and rapidity.

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An innovative technique for encrypting colors and medical images will be provided in this paper. It is founded on the creation of many, arbitrary-sized substitution tables that are attached to current replacement and diffusion functions that produced from the chaotic maps employed. By applying an upgraded Vigenère circuit with the built S-Box, a genetic crossover suited to the encoding of color images with multiple chaotic vectors will be adopted. Finally, a genetic mutation is installed under the control of a chaotic table for the reproduction of the encrypted image capable of resisting any unexpected invasion. A massive amount of color images of various sizes and formats being simulated to verify the dependability of our cutting-edge technology.