Human Face Recognition Using PCA with BPNN
Journal: International Journal of Science and Research (IJSR) (Vol.8, No. 1)Publication Date: 2019-01-05
Authors : Shikhar Choudhary; Rahul Moriwal;
Page : 867-874
Keywords : Biometrics; Face detection and recognition; Principal Component Analysis; Euclidean distance; Eigen faces; Back Propagation Neural Network; MATLAB;
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.
Other Latest Articles
- Online Based Innovative Education and Learning Model to Build English Learning Attitudes, Interests and Outcomes of Brawijaya University Students Malang
- Comparison of Earthquake Analysis Results of a Structure using ETABS Software and Manual Calculation
- Coblation Tonsillectomy versus Dissection Tonsillectomy: A Comparative Study and our Experience in Tertiary Care Centre
- Antimicrobial Activity of different Medicinal Soaps and Turmeric Powder against Infectious Microorganisms Isolated from Wound Area of Human
- The Principal Leadership based on Higher Order Thinking Skills for Realizing 21st Century Education
Last modified: 2021-06-28 17:20:55