Ultrafast blur evaluation in ocular biometrics

Defocus and motion blur are common distortions in ocular biometric image collections. This is especially prevalent for image acquisition in less constrained environment. An accurate estimation of the degradation parameters can be used for image quality assessment and for degradation restoration. Computationally fast methods are applicable for real-time image quality evaluation and feedback during the acquisition process. ISO/IEC 29794-6 (SC 37 N4302) specifies the computational method for sharpness as a focus-quality metric. The method for motion blur calculation is not defined. In this paper we report the performance of fast, non-referenced sharpness and motion blur estimation algorithms with application in Ocular biometrics. This paper reviews current techniques for blur estimation and reports the comparable accuracy of the proposed methods for multiple degrees of degradation.