Age and Gender Classification from Finger Vein Patterns

Author:

Damak Wafa,Boukhris Trabelsi Randa,Damak Masmoudi Alima,Sellami Dorra,Nait-Ali Amine

Publisher

Springer International Publishing

Reference21 articles.

1. Lecture Notes in Computer Science;K Li,2015

2. Randa, B.T., Alima, D.M., Dorra, S.M.: Hand vein recognition system with circular difference and statistical directional patterns based on an artificial neural network. Multimedia Tools Appl. 75(2), 687–707 (2016)

3. Randa, B.T., Alima, D.M., Dorra, S.M.: A novel biometric system based hand vein recognition. J. Test. Eval. 42(4), 1–10 (2013)

4. Randa, B.T., Alima, D.M., Dorra, S.M.: A new multimodal biometric system based on finger vein and hand vein recognition. Int. J. Eng. Technol. 4, 3175 (2013)

5. Wang, Y., Zheng, H.: A preliminary analysis of the aging dorsal hand vein images. In: 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), vol. 2, pp. 271–274. IEEE (2013)

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

2. Gender-Specific Characteristics for Hand-Vein Biometric Recognition: Analysis and Exploitation;IEEE Access;2023

3. Deep Learning Based Age and Gender Recognition Applied to Finger Vein Images;Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges;2023

4. CNN-based Model for Gender and Age Classification based on Palm Vein Images;2022 12th International Conference on Pattern Recognition Systems (ICPRS);2022-06-07

5. Age Bias in Finger Vein Biometric Research;Proceedings of the 8th International Conference on Information Systems Security and Privacy;2022

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