Iris Recognition on Mobile Devices Using Near-Infrared Images
Haiqing Li; Qi Zhang; Zhenan Sun Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, PR China
Abstract
Iris recognition provides a promising solution to enhance the security of private data on mobile devices. This chapter first analyzes the problems of iris recognition on mobile devices and then introduces our attempts to solve these problems by super-resolution, feature learning and multimodal biometrics fusion. Two super-resolution methods, which are based on convolutional neural networks (CNNs) and random forests, respectively, are compared experimentally. A pairwise CNNs model is proposed ...
Get Human Recognition in Unconstrained Environments now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
