A Resource-Efficient Embedded Iris Recognition System Using FCNs

Hokchhay Tann
Hokchhay Tann
Heng Zhao
Heng Zhao

ACM Journal on Emerging Technologies in Computing Systems, pp. 1-23, 2020.

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Abstract:

Applications of fully convolutional networks (FCN) in iris segmentation have shown promising advances. For mobile and embedded systems, a significant challenge is that the proposed FCN architectures are extremely computationally demanding. In this article, we propose a resource-efficient, end-to-end iris recognition flow, which consists o...More

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