DATASET
The following papers used EarVN1.0 for the ear recognition research, and more will be updated soon.
[1] Mewada, H.K., Patel, A.V., Chaudhari, J., Mahant, K. and Vala, A., 2020. Wavelet features embedded convolutional neural network for multiscale ear recognition. Journal of Electronic Imaging, 29(4), p.043029.
[2] Alshazly, Hammam & Linse, Christoph. (2020). Deep Convolutional Neural Networks for Unconstrained Ear Recognition. IEEE Access. 8. https://doi.org/10.1109/ACCESS.2020.3024116
[3] H. Nguyen-Quoc and V. T. Hoang, “Gender recognition based on ear images: a comparative experimental study,” Yogyakarta, Indonesia, Dec. 2020.
[4] Mehraj, H. and Mir, A.H., 2021. A Multi-Biometric System Based on Multi-Level Hybrid Feature Fusion. Herald of the Russian Academy of Sciences, 91(2), pp.176-196.
[5] Kamboj, A., Rani, R. and Nigam, A., 2021. A comprehensive survey and deep learning-based approach for human recognition using ear biometric. The Visual Computer, pp.1-34.
[6] Alshazly, H., Linse, C., Barth, E., Idris, S.A. and Martinetz, T., 2021. Towards Explainable Ear Recognition Systems Using Deep Residual Networks. IEEE Access.
[7] Sangodkar, S.G., Suthar, N., Palde, A., Birajadar, P. and Gadre, V.M., Ear recognition for multimedia security.
[8] Younis, M.C. and Abuhammad, H., 2021. A hybrid fusion framework to multi-modal bio metric identification. Multimedia Tools and Applications, pp.1-24.
2. VNPlant-200: Data Paper
Please fill in the agreement (Google Drive ) and return to trungnq.188i[AT]ou.edu.vn or vinh.th[AT]ou.edu.vn for the password.
4. Face-ID550
5. OUKinFace
6. OUVNNEWS
7. Ear Detection