Face Prediction System for Missing Children
| dc.contributor.author | Merzougui, Abdellatif | |
| dc.contributor.author | Supervisor: Rahima, Bentrcia | |
| dc.date.accessioned | 2024-10-09T13:51:37Z | |
| dc.date.available | 2024-10-09T13:51:37Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | This study aims to explore and use competitive generative networks (GANs) with the PixtoPix approach to predict images of a child based on a photo taken of him. The generator is trained to create images of the child, while the discriminator is trained to distinguish real images from generated images. The model was applied to a data set contains different images. The results showed that this model can generate predicted images. | |
| dc.identifier.uri | https://dspace.univ-msila.dz/handle/123456789/44373 | |
| dc.language.iso | en | |
| dc.publisher | University of Mohamed Boudiaf, M’sila | |
| dc.subject | Face Prediction | |
| dc.subject | System | |
| dc.subject | Missing Children | |
| dc.title | Face Prediction System for Missing Children | |
| dc.type | Thesis |