Human Face Recognition Using PCA with BPNN
Abstract: In this research paper we have developed a human face recognition system using principal component analysis (PCA) with back propagation neural network (BPNN). There are many techniques have been used since now for this purpose but here in this research paper our approach has concluded that principal component analysis with back propagation neural network worked even better than the individual principal component analysis. Thus we have developed a face recognition system for human beings using both above techniques.
Keywords: Biometrics, Face detection and recognition, Principal Component Analysis, Euclidean distance, Eigen faces, Back Propagation Neural Network, MATLAB
How to Cite?: Shikhar Choudhary, Rahul Moriwal, "Human Face Recognition Using PCA with BPNN", Volume 8 Issue 1, January 2019, International Journal of Science and Research (IJSR), Pages: 867-874, https://www.ijsr.net/getabstract.php?paperid=ART20194349, DOI: https://dx.doi.org/10.21275/ART20194349