Computational cameras for moving iris recognition

Scott McCloskey; Sharath Venkatesha

doi:10.1117/12.2181770

15 May 2015 Computational cameras for moving iris recognition

Scott McCloskey, Sharath Venkatesha

Proceedings Volume 9457, Biometric and Surveillance Technology for Human and Activity Identification XII; 94570C (2015) https://doi.org/10.1117/12.2181770
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

Iris-based biometric identification is increasingly used for facility access and other security applications. Like all methods that exploit visual information, however, iris systems are limited by the quality of captured images. Optical defocus due to a small depth of field (DOF) is one such challenge, as is the acquisition of sharply-focused iris images from subjects in motion. This manuscript describes the application of computational motion-deblurring cameras to the problem of moving iris capture, from the underlying theory to system considerations and performance data.

Citation Download Citation

Scott McCloskey and Sharath Venkatesha "Computational cameras for moving iris recognition", Proc. SPIE 9457, Biometric and Surveillance Technology for Human and Activity Identification XII, 94570C (15 May 2015); https://doi.org/10.1117/12.2181770

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