Deep learning for biometrics: A survey

K Sundararajan, DL Woodard - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …

[HTML][HTML] Facial age estimation using machine learning techniques: An overview

K ELKarazle, V Raman, P Then - Big Data and Cognitive Computing, 2022 - mdpi.com
Automatic age estimation from facial images is an exciting machine learning topic that has
attracted researchers' attention over the past several years. Numerous human–computer …

An all-in-one convolutional neural network for face analysis

R Ranjan, S Sankaranarayanan… - 2017 12th IEEE …, 2017 - ieeexplore.ieee.org
We present a multi-purpose algorithm for simultaneous face detection, face alignment, pose
estimation, gender recognition, smile detection, age estimation and face recognition using a …

Masked face age and gender identification using CAFFE-modified MobileNetV2 on photo and real-time video images by transfer learning and deep learning …

BA Kumar, NK Misra - Expert Systems with Applications, 2024 - Elsevier
One of the most challenging factors related to masked face age and gender identification
(MFAGI) is develo** a technique to quickly carry out identification and maintain accuracy …

Age estimation from faces using deep learning: A comparative analysis

A Othmani, AR Taleb, H Abdelkawy, A Hadid - Computer Vision and Image …, 2020 - Elsevier
Abstract Automatic Age Estimation (AAE) has attracted attention due to the wide variety of
possible applications. However, it is a challenging task because of the large variation of …

How transferable are CNN-based features for age and gender classification?

G Ozbulak, Y Aytar, HK Ekenel - 2016 International Conference …, 2016 - ieeexplore.ieee.org
Age and gender are complementary soft biometric traits for face recognition. Successful
estimation of age and gender from facial images taken under real-world conditions can …

Deeply learned classifiers for age and gender predictions of unfiltered faces

O Agbo-Ajala, S Viriri - the scientific world journal, 2020 - Wiley Online Library
Age and gender predictions of unfiltered faces classify unconstrained real‐world facial
images into predefined age and gender. Significant improvements have been made in this …

Group-aware deep feature learning for facial age estimation

H Liu, J Lu, J Feng, J Zhou - Pattern Recognition, 2017 - Elsevier
In this paper, we propose a group-aware deep feature learning (GA-DFL) approach for facial
age estimation. Unlike most existing methods which utilize hand-crafted descriptors for face …

Age from faces in the deep learning revolution

V Carletti, A Greco, G Percannella… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Face analysis includes a variety of specific problems as face detection, person identification,
gender and ethnicity recognition, just to name the most common ones; in the last two …

Deep learning approach for facial age classification: a survey of the state-of-the-art

O Agbo-Ajala, S Viriri - Artificial Intelligence Review, 2021 - Springer
Age estimation using face images is an exciting and challenging task. The traits from the
face images are used to determine age, gender, ethnic background, and emotion of people …