To take a correct images are very important to get good results.We have tested a lot of photos. We couldn't get correct result some photos to detect types of eyes. So, most important thing, it must be straight face pose when you take a photo. We are trying to avoid to take a picture with wrong angle.
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
That's a really good step!
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