Mobile Iris Challenge Evaluation (MICHE)-I, biometric iris dataset and protocols-Reference-Cited by-同舟云学术

Mobile Iris Challenge Evaluation (MICHE)-I, biometric iris dataset and protocols

Published:2015-05 Issue: Volume:57 Page:17-23
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

De Marsico Maria,Nappi Michele,Riccio Daniel,Wechsler Harry

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference22 articles.

1. K.W. Bowyer, P.J. Flynn, The ND-IRIS-0405 Iris Image Dataset, Notre Dame CVRL Technical Report. (2009).

2. How iris recognition works;Daugman;IEEE Trans. Circuits Syst. Video Technol.,2004

3. New methods in iris recognition;Daugman;IEEE Trans. Syst., Man, Cybern. B: Cybern.,2007

4. ES-RU: an entropy based rule to select representative templates in face surveillance, MTAP, Special Issue on human vision and information theory;De Marsico;Springer J.,2014

5. FIRME: face iris recognition for mobile engagement;De Marsico;Image Vis. Comput.,2014

Cited by 140 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning for detecting dilated or contracted pupils;Biomedical Signal Processing and Control;2024-08

2. SRU-Net: a novel spatiotemporal attention network for sclera segmentation and recognition;Pattern Analysis and Applications;2024-07-28

3. Different gaze direction (DGNet) collaborative learning for iris segmentation;International Journal of Machine Learning and Cybernetics;2024-06-06

4. CRED: A Corneal Reflection and Environment Dataset;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08

5. VertiBayes: learning Bayesian network parameters from vertically partitioned data with missing values;Complex & Intelligent Systems;2024-04-25