Ghanem, R., Ramadan, M. (2020). A Novel Landmarked Face Database for Arab Celebrities. Benha Journal of Applied Sciences, 5(Issue 7 part (1) - (2)), 161-166. doi: 10.21608/bjas.2020.226893
R.M. Ghanem; M.L. Ramadan. "A Novel Landmarked Face Database for Arab Celebrities". Benha Journal of Applied Sciences, 5, Issue 7 part (1) - (2), 2020, 161-166. doi: 10.21608/bjas.2020.226893
Ghanem, R., Ramadan, M. (2020). 'A Novel Landmarked Face Database for Arab Celebrities', Benha Journal of Applied Sciences, 5(Issue 7 part (1) - (2)), pp. 161-166. doi: 10.21608/bjas.2020.226893
Ghanem, R., Ramadan, M. A Novel Landmarked Face Database for Arab Celebrities. Benha Journal of Applied Sciences, 2020; 5(Issue 7 part (1) - (2)): 161-166. doi: 10.21608/bjas.2020.226893
A Novel Landmarked Face Database for Arab Celebrities
1Mathematics Dept., Faculty of Science, Benha University, Benha, Egypt
2Computer Science Dept., Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt
Abstract
In this paper, we present a novel database of colored and gray, plausible face images. The database contains almost 389 images of 79 Arab celebrities with automatically generated landmarks acquired from the web in wild-life. We apply face recognition (face detection) using Caffe-Model with open cv to extract faces from images then store them in 256 × 256 pixels images. The dataset is publicly available for research purposes and can be used as a training and testing material in developing various algorithms related to face detection, inpainting, frontalization, recognition, and analysis. It is challenging to inpaint face images in the wild-life, due to the large variation of appearances, such as expressions, gender, different poses, and ethnicity. This inspired us to establish a dataset that includes the faces of Arab celebrities to use it in future work.