Authors : Mohamad Nurfakhrian Aziz, Anggunmeka Luhur Prasasti and Tito Waluyo Purboyo
Abstract: Face recognition using infrared technology is increasingly being used for the security purpose, it is Closed Circuit Television (CCTV) camera. CCTV camera is generally using infrared technology to monitor the surrounding environment in every condition whether it’s clear or even dark one without any lighting. Any evidence of crime captured by CCTV camera will be used for legal purposes. As we know that the image from infrared camera has poor quality, especially in terms of illumination and image detail, so, it’s hard to recognize someone from infrared camera. Therefore, the image quality from infrared camera needs to be enhanced. Retinex algorithm works like retina (in the eyes) and cortex (in the brain) to adapt the illumination. SSR (Single-Scale Retinex) and MSR (Multi-Scale Retinex) methods has been used in this research to be analyzed their effectiveness in face recognition using LDA (Linear Discriminant Analysis) method. In the tests that have been done, people face recognition in very dark conditions can still be recognized compared to face recognition without retinex and MSR has better accuracy than SSR one.
Mohamad Nurfakhrian Aziz, Anggunmeka Luhur Prasasti and Tito Waluyo Purboyo, 2019. Experimental Analysis of Face Recognition from Infrared Camera using Retinex Algorithm and Linear Discriminant Analysis (LDA). Journal of Engineering and Applied Sciences, 14: 2594-2609.