Depth-aware blur kernel estimation method for iris deblurring

摘要

Estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. A second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution is estimated. The first mathematical relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second mathematical relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The produced image is digitally unblurred by using the blur kernel distribution defined by the calculated standard deviation.

主权项

1. A method of capturing an image of an iris, said method comprising the steps of:
using a camera lens with a focus position to produce an image of a living being's eye; sensing an actual position of the living being's eye at a point in time at which the camera lens produced the image of the living being's eye; and determining a Gaussian blur kernel distribution based upon:
the focus position of the camera lens; andthe actual position of the living being's eye at the point in time; and using the blur kernel distribution to digitally unblur the produced image.