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Illumination and Rotation Invariant Texture Representation for Face Recognition

Illumination and Rotation Invariant Texture Representation for Face Recognition

Medha Kudari, Shivashankar S., Prakash S. Hiremath
Copyright: © 2020 |Volume: 10 |Issue: 2 |Pages: 12
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781799807360|DOI: 10.4018/IJCVIP.2020040105
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MLA

Kudari, Medha, et al. "Illumination and Rotation Invariant Texture Representation for Face Recognition." IJCVIP vol.10, no.2 2020: pp.58-69. http://doi.org/10.4018/IJCVIP.2020040105

APA

Kudari, M., Shivashankar S., & Hiremath, P. S. (2020). Illumination and Rotation Invariant Texture Representation for Face Recognition. International Journal of Computer Vision and Image Processing (IJCVIP), 10(2), 58-69. http://doi.org/10.4018/IJCVIP.2020040105

Chicago

Kudari, Medha, Shivashankar S., and Prakash S. Hiremath. "Illumination and Rotation Invariant Texture Representation for Face Recognition," International Journal of Computer Vision and Image Processing (IJCVIP) 10, no.2: 58-69. http://doi.org/10.4018/IJCVIP.2020040105

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Abstract

This article presents a novel approach for illumination and rotation invariant texture representation for face recognition. A gradient transformation is used as illumination invariance property and a Galois Field for the rotation invariance property. The normalized cumulative histogram bin values of the Gradient Galois Field transformed image represent the illumination and rotation invariant texture features. These features are further used as face descriptors. Experimentations are performed on FERET and extended Cohn Kanade databases. The results show that the proposed method is better as compared to Rotation Invariant Local Binary Pattern, Log-polar transform and Sorted Local Gradient Pattern and is illumination and rotation invariant.

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