• Siva Poojitha Veluri
• Zeba Rehaman
• Mala M.V
• Raghavendra B

Face recognition has grown in popularity in image processing, and as a result, has made significant progress. A significant amount of new algorithm design is centred on the usage of convolutional structures to improve the algorithm's precision. For the first time, these convolutional structures enabled the extraction of even the most minor pixel information. Our objective is to construct a binary face classifier capable of identifying each face in the picture, independent of its alignment. We show how to efficiently create accurate face segmentation masks from any random input picture using the following method. Before performing the approach, the picture must be an RGB picture of any size, as previously stated. The following preconfigured VGG-16 training weights are used

Face Recognition

"AI to Design a Mask Insensible to the Distance from Camera to the Sense Objects", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.f48-f52, June-2021, Available :http://www.jetir.org/papers/JETIR2106707.pdf

"AI to Design a Mask Insensible to the Distance from Camera to the Sense Objects", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppf48-f52, June-2021, Available at : http://www.jetir.org/papers/JETIR2106707.pdf