Biometrics refers to identify people through their physical characteristics or behavior such as fingerprints, face, DNA,
hand geometries, retina and iris patterns. Typically, the iris pattern is to acquire in short distance to recognize a person,
however, in the past few years is a challenge identify a person by its iris pattern at certain distance in non-cooperative
environments. This challenge comprises: 1) high quality iris image, 2) light variation, 3) blur reduction, 4) specular
reflections reduction, 5) the distance from the acquisition system to the user, and 6) standardize the iris size and the density
pixel of iris texture. The solution of the challenge will add robustness and enhance the iris recognition rates. For this
reason, we describe the technical issues that must be considered during iris acquisition. Some of these considerations are
the camera sensor, lens, the math analysis of depth of field (DOF) and field of view (FOV) for iris recognition. Finally,
based on this issues we present experiment that show the result of captures obtained with our camera at distance and
captures obtained with cameras in very short distance.
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