Iris capture from moving subjects using a fluttering shutter

We address the problem of sharp iris image capture from moving subjects for the purpose of biometric identification. We utilize recent research from the field of computational photography, and capture images using the flutter shutter technique of [12]. Instead of capturing an image with traditional motion blur, we open and close the shutter several times during capture in order to effect invertible motion blur in the captured image. After applying automated blur estimation and de-blurring, we employ de-convolution to estimate a sharp image from the captured image. Through black-box testing with an existing iris matcher, we demonstrate the improved utility of these images for biometrics.