Multiscale Retinex Application to Analyze Face Recognition

The main challenge that facial recognition introduces is the difficulty of uneven lighting or dark tendencies. The image is poorly lit, which makes it difficult for the system to perform facial recognition. This study aims to normalize the lighting in the image using the Multiscale Retinex method. T...

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Bibliographic Details
Published in:	JOIN (Jurnal Online Informatika (Online) pp. 217 - 226
Main Authors:	Supriyanto, Supriyanto, Harika, Maisevli, Ramadiani, Maya Sri, Ramdania, Diena Rauda
Format:	Journal Article
Language:	English
Published:	Department of Informatics, UIN Sunan Gunung Djati Bandung 08-12-2020
Subjects:	face recognition lumination multiscale retinex principal component analysis variations
Online Access:	Get full text
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Summary:	The main challenge that facial recognition introduces is the difficulty of uneven lighting or dark tendencies. The image is poorly lit, which makes it difficult for the system to perform facial recognition. This study aims to normalize the lighting in the image using the Multiscale Retinex method. This method is applied to a face recognition system based on Principal Component Analysis to determine whether this method effectively improves images with uneven lighting. The results showed that the Multiscale Retinex approach to face recognition's correctness was better, from 40% to 76%. Multiscale Retinex has the advantage of dark facial image types because it produces a brighter image output.
ISSN:	2528-1682 2527-9165
DOI:	10.15575/join.v5i2.668