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 129 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. CASIA-Iris-Africa: A Large-scale African Iris Image Database;Machine Intelligence Research;2024-01-12

2. SCCRNet: a framework for source camera identification on digital images;Neural Computing and Applications;2023-11-20

3. Federated Bayesian Network Ensembles;2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC);2023-09-18

4. Remarks on Speeding up the Digital Camera Identification using Convolutional Neural Networks;Vietnam Journal of Computer Science;2023-09-14

5. A Survey on Fingerprinting Technologies for Smartphones Based on Embedded Transducers;IEEE Internet of Things Journal;2023-08-15