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PCA-Based Face Recognition Study by Zain Qureshi is a document available to read on EtoBox.
This paper presents a face recognition method that combines Principal Component Analysis (PCA) with a multi-layer neural network to improve recognition rates under varying conditions. The proposed approach includes a rectangular feature-based classifier for real-time face detection and utilizes error back-propagation for training the neural network. Experimental results demonstrate the effectiveness of the method in reducing recognition errors compared to existing techniques.
- Author
- Zain Qureshi
- Language
- EN