Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model
Gender classification from human face images has attracted researchers over the past decade. It has great impact in different fields including defense, human-computer interaction, surveillance industry, and mobile applications. Many methods and techniques have been proposed depending on clear digita...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Human-Computer Interaction |
| Online Access: | http://dx.doi.org/10.1155/2022/3852054 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832548998199640064 |
|---|---|
| author | Alyaa J. Jalil Naglaa M. Reda |
| author_facet | Alyaa J. Jalil Naglaa M. Reda |
| author_sort | Alyaa J. Jalil |
| collection | DOAJ |
| description | Gender classification from human face images has attracted researchers over the past decade. It has great impact in different fields including defense, human-computer interaction, surveillance industry, and mobile applications. Many methods and techniques have been proposed depending on clear digital images and complex feature extraction preprocessing. However, most recent critical real systems use thermal cameras. This paper has the novelty of utilizing thermal images in gender classification. It proposes a unique approach called IRT_ResNet that adopts residual network (ResNet) model with different layer configurations: 18, 50, and 101. Two different datasets of thermal images have been leveraged to train and test these models. The proposed approach has been compared with convolutional neural network (CNN), principal component analysis (PCA), local binary pattern (LBP), and scale invariant feature transform (SIFT). The experimental results show that the proposed model has higher overall classification accuracy, precision, and F-score compared to the other techniques. |
| format | Article |
| id | doaj-art-85e0677cca3d40319932c3d01ba09b6d |
| institution | Kabale University |
| issn | 1687-5907 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Human-Computer Interaction |
| spelling | doaj-art-85e0677cca3d40319932c3d01ba09b6d2025-02-03T06:12:29ZengWileyAdvances in Human-Computer Interaction1687-59072022-01-01202210.1155/2022/3852054Infrared Thermal Image Gender Classifier Based on the Deep ResNet ModelAlyaa J. Jalil0Naglaa M. Reda1Department of Computer ScienceDepartment of MathematicsGender classification from human face images has attracted researchers over the past decade. It has great impact in different fields including defense, human-computer interaction, surveillance industry, and mobile applications. Many methods and techniques have been proposed depending on clear digital images and complex feature extraction preprocessing. However, most recent critical real systems use thermal cameras. This paper has the novelty of utilizing thermal images in gender classification. It proposes a unique approach called IRT_ResNet that adopts residual network (ResNet) model with different layer configurations: 18, 50, and 101. Two different datasets of thermal images have been leveraged to train and test these models. The proposed approach has been compared with convolutional neural network (CNN), principal component analysis (PCA), local binary pattern (LBP), and scale invariant feature transform (SIFT). The experimental results show that the proposed model has higher overall classification accuracy, precision, and F-score compared to the other techniques.http://dx.doi.org/10.1155/2022/3852054 |
| spellingShingle | Alyaa J. Jalil Naglaa M. Reda Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model Advances in Human-Computer Interaction |
| title | Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model |
| title_full | Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model |
| title_fullStr | Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model |
| title_full_unstemmed | Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model |
| title_short | Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model |
| title_sort | infrared thermal image gender classifier based on the deep resnet model |
| url | http://dx.doi.org/10.1155/2022/3852054 |
| work_keys_str_mv | AT alyaajjalil infraredthermalimagegenderclassifierbasedonthedeepresnetmodel AT naglaamreda infraredthermalimagegenderclassifierbasedonthedeepresnetmodel |