Periocular Region based Gender Identification using Transfer Learning

Author:

Kumar Aishwarya,Seeja K.R.ORCID

Publisher

Elsevier BV

Subject

Engineering (miscellaneous),Information Systems and Management,Information Systems,Computer Science Applications

Reference36 articles.

1. Abdolrashidi, A., Minaei, M., Azimi, E., & Minaee, S. (2020). Age and Gender Prediction From Face Images Using Attentional Convolutional Network. http://arxiv.org/abs/2010.03791.

2. Unconstrained gender recognition from periocular region using multiscale deep features;Alrabiah;Intelligent Automation and Soft Computing,2023

3. A robust approach for gender recognition using deep learning;Arora,2018

4. Human age and gender classification using convolutional neural network;Benkaddour,2021

5. Bobeldyk, D., & Ross, A. (2018). Analyzing Covariate Influence on Gender and Race Prediction from Near-Infrared Ocular Images. doi:10.1109/ACCESS.2018.2886275.

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2. Region based medical image encryption using advanced zigzag transform and 2D logistic sine map (2DLSM);International Journal of Cognitive Computing in Engineering;2023-06

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