Fast Iris localization using Haar-like features and AdaBoost algorithm-Reference-Cited by-同舟云学术

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Fast Iris localization using Haar-like features and AdaBoost algorithm

Published:2020-06-11 Issue:45-46 Volume:79 Page:34339-34362
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Lin Yi-Nan,Hsieh Tsang-Yen,Huang Jr-Jen,Yang Cheng-Ying,Shen Victor R. L.,Bui Hai Hoang

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-020-08907-5.pdf

Reference36 articles.

1. Attaran N, Puranik A, Brooks J, Mohsenin T (2018) Embedded low-power processor for personalized stress detection. IEEE Trans Circuits Syst II Express Briefs 65(12):2032–2036

2. Baek S, Choi K, Ma C, Kim Y, Ko S (2013) Eyeball model-based iris center localization for visible image-based eye-gaze tracking systems. IEEE Trans Consum Electron 59(2):415–421

3. Burghardt T, Calic J (2006) Analyzing animal behaviour in wildlife videos using face detection and tracking. IEEE Proc - Vis Image Signal Process 153(3):305–312

4. Dasgupta A, George A, Happy S, Routray A (2013) A vision-based system for monitoring the loss of attention in automotive drivers. IEEE Trans Intell Transp Syst 14(4):1825–1838

5. Daugman JG (2004) How iris recognition works. IEEE Trans Circuits Syst Video Technol 14(1):21–30

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