Internship Daily

If you want to find a distance between two eyes or two eyelids in mm, you can have difficult in this. Because, you can measure iris in pixel but you can't in mm. You need have a reference. So, we chose iris as a reference point. The reason of selecting iris is all people have mostly same iris diameter which is 11,8 mm. So, we tried to detect iris on human faces. Firstly, we cropped eyes on each face photo and carried out circle detection. Here are some results.

After we tested a lot of images for classification, we classified all photos and adjusted a ratio. We specified 5 class which are Close, Normal-Close, Normal, Normal-Wide and Wide Eyes. Some results shown below .

In this stage, we are trying to classify different eyes shapes. The most important thing in this classification is distance between of two eyes. For example, if the space between two eyes is smaller than the width of one eye, this is close set eye or if vice versa, this is wide set eye. For normal set eyes, we specified a tolerance value and tested over approx. a hundred images. Then, we classified these images which called wide-close- normal eyes. In next stage, we will try in our program each image and make a histogram to get a correct result for classification. For instance this is close set eyes. Normal Set Eyes Wide Set Eyes Close Set Eyes