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An Experimental Study of Deep Convolutional Features For Iris Recognition
[article]
2017
arXiv
pre-print
Iris is one of the popular biometrics that is widely used for identity authentication. Different features have been used to perform iris recognition in the past. Most of them are based on hand-crafted features designed by biometrics experts. Due to tremendous success of deep learning in computer vision problems, there has been a lot of interest in applying features learned by convolutional neural networks on general image recognition to other tasks such as segmentation, face recognition, and
arXiv:1702.01334v1
fatcat:fbsfymoxc5cyvcvz3aqxgvyuey