Face Identification Using Data Augmentation Based on the Combination of DCGANs and Basic Manipulations - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Information Année : 2022

Face Identification Using Data Augmentation Based on the Combination of DCGANs and Basic Manipulations

Sirine Ammar
  • Fonction : Auteur
Mahmoud Neji
  • Fonction : Auteur

Résumé

Recently, Deep Neural Networks (DNNs) have become a central subject of discussion in computer vision for a broad range of applications, including image classification and face recognition. Compared to existing conventional machine learning methods, deep learning algorithms have shown prominent performance with high accuracy and speed. However, they always require a large amount of data to achieve adequate robustness. Furthermore, additional samples are time-consuming and expensive to collect. In this paper, we propose an approach that combines generative methods and basic manipulations for image data augmentations and the FaceNet model with Support Vector Machine (SVM) for face recognition. To do so, the images were first preprocessed by a Deep Convolutional Generative Adversarial Net (DCGAN) to generate samples having realistic properties inseparable from those of the original datasets. Second, basic manipulations were applied on the images produced by DCGAN in order to increase the amount of training data. Finally, FaceNet was employed as a face recognition model. FaceNet detects faces using MTCNN, 128-D face embedding is computed to quantify each face, and an SVM was used on top of the embeddings for classification. Experiments carried out on the LFW and VGG image databases and ChokePoint video database demonstrate that the combination of basic and generative methods for augmentation boosted face recognition performance, leading to better recognition results.

Dates et versions

hal-03790483 , version 1 (28-09-2022)

Identifiants

Citer

Sirine Ammar, Thierry Bouwmans, Mahmoud Neji. Face Identification Using Data Augmentation Based on the Combination of DCGANs and Basic Manipulations. Information, 2022, 13 (8), pp.370. ⟨10.3390/info13080370⟩. ⟨hal-03790483⟩

Collections

MIA UNIV-ROCHELLE
25 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More