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Research Paper | Pattern Recognition | India | Volume 8 Issue 1, January 2019
Human Face Recognition Using PCA with BPNN
Shikhar Choudhary [3] | Rahul Moriwal [3]
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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Research Paper, Pattern Recognition, India, Volume 8 Issue 1, January 2019
Pages: 348 - 355Human Face Recognition System Using PCA
Shikhar Choudhary [3] | Rahul Moriwal [3] | Dr. Prof Sanjay Bansal
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Survey Paper, Pattern Recognition, India, Volume 8 Issue 2, February 2019
Pages: 102 - 116Survey & Review of Face Recognition Techniques Using MATLAB
Shikhar Choudhary [3] | Rahul Moriwal [3]