Exploiting quality and texture features to estimate age and gender from fingerprints-Reference-Cited by-同舟云学术

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Exploiting quality and texture features to estimate age and gender from fingerprints

Published:2014-05-29 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
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Author:

Marasco Emanuela,Lugini Luca,Cukic Bojan

Publisher

SPIE

Reference40 articles.

1. Introduction to Biometrics

2. Biometric Authentication

3. Can Soft Biometric Traits Assist User Recognition?;Jain,2004

4. Performance of Biometric Quality Measures

5. Handbook of Fingerprint Recognition;Maltoni,2003

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1. Gender Classification Based on Spatio-Frequency Feature Fusion of OCT Fingerprint Images in the IoT Environment;IEEE Internet of Things Journal;2024-08-01

2. Deep Learning Ensemble Approach to Age Group Classification Based On Fingerprint Pattern;Advances in Artificial Intelligence Research;2023-10-29

3. Gender and Hand Identification Based on Dactyloscopy Using Deep Convolutional Neural Network;Computational Intelligence in Pattern Recognition;2023

4. A Novel Time-Series Database of Finger Hypercubes Before and After Hand Sanitization with Demographics;Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges;2023

5. Extracting Fingerprint Features Using Autoencoder Networks for Gender Classification;Applied Sciences;2022-10-10

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