The last biometric that we will use is the output of an iris scan. Considering our setup, there might be several ways to grab iris data:
We can separate the face and apply an eye detector using face detection, which can be done with a high-resolution camera. We can use the resulting regions to perform iris segmentation and classification.
We can use a specific eye camera, which grabs an eye image to be classified. This can be done either with RGB or NIR.
Since the first approach is prone to a lot of problems, such as the resulting eye image having a low resolution, a more common approach is to use a separate eye camera that grabs the eye. This is the method that we will use in this chapter. An example of a captured eye in both the RGB (visible colors) and NIR (near infra-red) spectrums is visualized below:
An example of both a RGB and a NIR iris-based image
Using NIR images helps us in several ways:
First of all, color information is omitted, since a lot of...