Face recognition in grayscale

State-of-the-art deep CNN face matchers are typically created using extensive training sets of color face images. Our study reveals that such matchers attain virtually identical accuracy when trained on either grayscale or color versions of the training set, even when the evaluation is done using color test images.

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Aman Bhatta, Domingo Mery, Haiyu Wu, Joyce Annan, Michael C. King, Kevin W. Bowyer (2024). Dataset: Face recognition in grayscale. https://doi.org/10.57702/m3eby57l

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2309.05180
Author Aman Bhatta
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Domingo Mery
Haiyu Wu
Joyce Annan
Michael C. King
Kevin W. Bowyer