Human Face Recognition Using PCA with BPNN
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 141 | Views: 406

Research Paper | Pattern Recognition | India | Volume 8 Issue 1, January 2019 | Popularity: 6.2 / 10


     

Human Face Recognition Using PCA with BPNN

Shikhar Choudhary, Rahul Moriwal


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


Edition: Volume 8 Issue 1, January 2019


Pages: 867 - 874



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Shikhar Choudhary, Rahul Moriwal, "Human Face Recognition Using PCA with BPNN", International Journal of Science and Research (IJSR), Volume 8 Issue 1, January 2019, pp. 867-874, https://www.ijsr.net/getabstract.php?paperid=ART20194349, DOI: https://www.doi.org/10.21275/ART20194349

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