Design and development of an integrated approach towards detection and tracking of iris using deep learning
Author:
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/s11042-023-17433-z.pdf
Reference41 articles.
1. Ahmed M, Laskar RH (2021) Evaluation of accurate iris center and eye corner localization method in a facial image for gaze estimation. Multimedia Syst 27:429–448. https://doi.org/10.1007/s00530-020-00744-8
2. Shahin MK, Tharwat A, Gaber T, Hassanien AE (2019) A wheelchair control system using human-machine interaction: single-modal and multimodal approaches. J Intell Syst 28(1):115–132
3. Qiu H, Li Z, Yang YU, Xin C, Bian G (2020) Real-Time Iris Tracking Using Deep Regression Networks for Robotic Ophthalmic Surgery. IEEE Access 8:50648–50658. https://doi.org/10.1109/ACCESS.2020.2980005
4. Lin C, Li X, Li Z, Hou J (2022) Finding Stars From Fireworks: Improving Non-Cooperative Iris Tracking. IEEE Transactions on Circuits and Systems for Video Technology 32(9):6137–6147. https://doi.org/10.1109/TCSVT.2022.3158969
5. Chaudhary AK, Pelz JB (2019) Motion tracking of iris features to detect small eye movements. J Eye Mov Res 12(6):10.16910/jemr.12.6.4. https://doi.org/10.16910/jemr.12.6.4
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