Please use this identifier to cite or link to this item:
https://libeldoc.bsuir.by/handle/123456789/63417
| Title: | Face recognition in low light conditions |
| Authors: | Al-Absi Saleh, S. A. E. |
| Keywords: | материалы конференций;biometric authentication;low light conditions;machine learning;data
augmentation |
| Issue Date: | 2026 |
| Publisher: | БГУИР |
| Citation: | Al-Absi Saleh, S. A. E. Face recognition in low light conditions / S. A. E. Al-Absi Saleh // Технические средства защиты информации : материалы ХXIV Международной научно-технической конференции, Минск, 8 апреля 2026 года / Белорусский государственный университет информатики и радиоэлектроники [и др.] ; редкол.: О. В. Бойправ [и др.]. – Минск, 2026. – С. 210–212. |
| Abstract: | This paper is devoted to an urgent problem of biometric authentication - face
recognition in conditions of poor visibility and low light conditions. The article analyzes the
main difficulties, such as sensory noise and loss of key image features. The Head Pose Image
Database dataset was used to study the effectiveness of the algorithms. Special attention is
paid to the method of expanding the training sample using data augmentation in the OpenCV
library. The process of programmatically adjusting the brightness and contrast of images is
described, which allows simulating extreme shooting conditions to improve the accuracy of
modern computer vision systems. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/63417 |
| Appears in Collections: | ТСЗИ 2026
|
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