Review on secure traditional and machine learning algorithms for age prediction using IRIS image-Reference-Cited by-同舟云学术

Review on secure traditional and machine learning algorithms for age prediction using IRIS image

Published:2022-06-28 Issue:24 Volume:81 Page:35503-35531
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Gowroju Swathi,Aarti ,Kumar Sandeep

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/s11042-022-13355-4.pdf

Reference100 articles.

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2. Abdullah, Mohammed AM, Dlay SS, Woo WL, Chambers JA (2016) Robust iris segmentation method based on a new active contour force with a noncircular normalization. IEEE Transactions on Systems, Man, and Cybernetics: Systems 47(12):3128–3141

3. Al-Allaf O, AL-Allaf A, Tamimi AA, AbdAlKader SA (2012) Artificial neural networks for iris recognition system: comparisons between different models, architectures and algorithms. International Journal of Information and Communication Technology Research 2(10)

4. Al-Allaf ON, Ahmad SA, AlKader A, Tamimi AA (2013) Pattern recognition neural network for improving the performance of iris recognition system. J Sci Eng Res 4(6):661–667

5. Alonso-Fernandez F, Tome-Gonzalez P, Ruiz-Albacete V, Ortega-Garcia J (2009) "Iris recognition based on SIFT features," 2009 First IEEE International Conference on Biometrics, Identity and Security (BIdS), pp. 1–8. https://doi.org/10.1109/BIDS.2009.5507529.

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