CNN-based Model for Gender and Age Classification based on Palm Vein Images

Author:

Hernandez-Garcia Ruber1,Feng Zheng2,Barrientos Ricardo J.3,Castro Francisco Manuel4,Ramos-Cozar Julian4,Guil Nicolas4

Affiliation:

1. CIEAM Research Center, Universidad Católica del Maule,Talca,Chile

2. School of Electrical and Information Engineering, University of Sidney,Sidney,Australia

3. Universidad Católica del Maule,Faculty of Engineering Sciences,Talca,Chile

4. Universidad of Málaga,Dept. of Computer Architecture,Málaga,Spain

Publisher

IEEE

Reference24 articles.

1. Predicting ethnicity and gender from iris texture

2. Gender Classification from Iris Images Using Fusion of Uniform Local Binary Patterns

3. Palm Vein Age and Gender Estimation Using Center Symmetric-Local Bi-nary Pattern;damak;International Joint Conference 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019),0

4. A Preliminary Analysis of the Aging Dorsal Hand Vein Images

5. Evaluation of the standard and regularized ELMs for gender and age classification based on palm vein images

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adversarial Contrastive Learning Based on Image Generation for Palm Vein Recognition;2023 2nd International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP);2023-10-27

2. SoftVein-WELM: A Weighted Extreme Learning Machine Model for Soft Biometrics on Palm Vein Images;Electronics;2023-08-26

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