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Soft biometrics: A survey: Benchmark analysis, open challenges and recommendations
B Hassan, E Izquierdo, T Piatrik - Multimedia Tools and Applications, 2021 - Springer
The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …
individual based on the persons physiological or behaviour traits. While the use of intrusive …
Face recognition and age estimation implications of changes in facial features: A critical review study
Facial features are considered as one of the important personal characteristics. This can be
used in many applications, such as face recognition and age estimation. The value of these …
used in many applications, such as face recognition and age estimation. The value of these …
Distance metric optimization driven convolutional neural network for age invariant face recognition
Y Li, G Wang, L Nie, Q Wang, W Tan - Pattern recognition, 2018 - Elsevier
Despite the great advances in face-related works in recent years, face recognition across
age remains a challenging problem. The traditional approaches to this problem usually …
age remains a challenging problem. The traditional approaches to this problem usually …
How transferable are CNN-based features for age and gender classification?
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 …
estimation of age and gender from facial images taken under real-world conditions can …
Deep-feature encoding-based discriminative model for age-invariant face recognition
MS Shakeel, KM Lam - Pattern Recognition, 2019 - Elsevier
Facial aging variation is a major problem for face recognition systems due to large intra-
personal variations caused by age progression. A major challenge is to develop an efficient …
personal variations caused by age progression. A major challenge is to develop an efficient …
Robust active shape model via hierarchical feature extraction with SFS-optimized convolution neural network for invariant human age classification
The features and appearance of the human face are affected greatly by aging. A human face
is an important aspect for human age identification from childhood through adulthood …
is an important aspect for human age identification from childhood through adulthood …
Facial expression recognition using a pairwise feature selection and classification approach
MJ Cossetin, JC Nievola… - 2016 International Joint …, 2016 - ieeexplore.ieee.org
This paper proposes a novel approach that combines specialized pairwise classifiers
trained with different feature subsets for facial expression classification. The proposed …
trained with different feature subsets for facial expression classification. The proposed …
A hybrid approach of neural networks for age and gender classification through decision fusion
J Rwigema, J Mfitumukiza, K Tae-Yong - Biomedical Signal Processing …, 2021 - Elsevier
Age and Gender are identified as very important attributes in human identification and these
attributes are used in various fields of Human and Computer Interaction (HCI) such as …
attributes are used in various fields of Human and Computer Interaction (HCI) such as …
Age estimation using deep learning
S Zaghbani, N Boujneh, MS Bouhlel - Computers & Electrical Engineering, 2018 - Elsevier
Age has always been an important attribute of identity. It also has been an important factor in
social interaction. The posture, vocabulary, facial wrinkles and the intonation are all …
social interaction. The posture, vocabulary, facial wrinkles and the intonation are all …
Feature fusion via deep random forest for facial age estimation
In the last few years, human age estimation from face images attracted the attention of many
researchers in computer vision and machine learning fields. This is due to its numerous …
researchers in computer vision and machine learning fields. This is due to its numerous …