Multimodal Face Recognition: Leveraging Depth and Thermal Imaging

Main Article Content

PRof. Madhu Makan

Abstract

Face recognition has become widely used in security and authentication systems. However, traditional methods that rely on visible light often struggle with poor lighting conditions or occlusions. This paper introduces a multimodal face recognition system that combines depth and thermal imaging with conventional RGB data. By fusing these diverse data sources, the system significantly enhances recognition accuracy, especially in challenging environments such as night-time or low-visibility situations. The proposed approach is evaluated on a custom dataset and demonstrates its potential for practical applications in surveillance and access control.

Article Details

How to Cite
Makan, P. M. (2025). Multimodal Face Recognition: Leveraging Depth and Thermal Imaging. International Journal of Computer Vision and Computer Science, 7(7). Retrieved from https://ijaisd.com/index.php/IJCVCS/article/view/73
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Articles

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