Cross-spectral iris recognition using CNN and supervised discrete hashing
作者：
Highlights：
• More accurate cross-spectral iris recognition approach using the self-learned features.
• Outperforming experimental results over other methods for cross-spectral and cross-sensor iris recognition in the literature using publicly accessible databases.
• Smallest iris template size as compared with those from other methods in literature.
• Comparative results using a range of supervised hashing algorithms for cross-spectral iris recognition.
摘要
•More accurate cross-spectral iris recognition approach using the self-learned features.•Outperforming experimental results over other methods for cross-spectral and cross-sensor iris recognition in the literature using publicly accessible databases.•Smallest iris template size as compared with those from other methods in literature.•Comparative results using a range of supervised hashing algorithms for cross-spectral iris recognition.
论文关键词：Cross-spectral,Iris recognition,Deep learning,Convolutional neural network,Hashing
论文评审过程：Received 8 December 2017, Revised 2 August 2018, Accepted 27 August 2018, Available online 28 August 2018, Version of Record 15 September 2018.
论文官网地址：https://doi.org/10.1016/j.patcog.2018.08.010
