Design and Development of Efficient Face Recognition Architecture Using Neural Network on FPGA
M Tousif Ahmed, Sanjay Kumar Sinha · 2018
Face Recognition is an application used for identification of a person among the pool of images. The main goal is to identify the face among the database of images. As the geometrical features of the face images are similar, distinguishing one face from other faces from the other base is challenging task. The Proposed work uses the Neural Network as classifier using Histogram of Oriented Gradients features of images. The proposed architecture uses Levenberg-Marquardt feed-forward training method for neural network. ORL data base is used and is implemented on VIRTEX-7 FPGA platform giving better recognition rate and high performance.