Understanding unconventional preprocessors in deep convolutional neural networks for face identification (2019)
Journal Article
Olisah, C. C., & Smith, L. (2019). Understanding unconventional preprocessors in deep convolutional neural networks for face identification. SN Applied Sciences, 1(11), https://doi.org/10.1007/s42452-019-1538-5

Deep convolutional neural networks have achieved huge successes in application domains like object and face recognition. The performance gain is attributed to different facets of the network architecture such as: depth of the convolutional layers, ac... Read More about Understanding unconventional preprocessors in deep convolutional neural networks for face identification.

Face recognition via edge-based Gabor feature representation for plastic surgery-altered images (2014)
Journal Article
Chude-Olisah, C. C., Sulong, G., Chude-Okonkwo, U. A. K., & Hashim, S. Z. M. (2014). Face recognition via edge-based Gabor feature representation for plastic surgery-altered images. EURASIP Journal on Advances in Signal Processing, 2014(1), Article 102. https://doi.org/10.1186/1687-6180-2014-102

Plastic surgery procedures on the face introduce skin texture variations between images of the same person (intra-subject), thereby making the task of face recognition more difficult than in normal scenario. Usually, in contemporary face recognition... Read More about Face recognition via edge-based Gabor feature representation for plastic surgery-altered images.