1. Neural Network-based Face Recognition, using ARENA Algorithm. Gregory Tambasis Supervisor: Dr T. Windeatt

2. Contents 7 Face Recognition 7 Neural Networks 7 Databases 7 Algorithms 7 Implementation & Results 7 Further Work 7 Demonstration

3. Aims and Objectives n Implementation u Neural Networks u Simplicity u Speed &storage u Accuracy n Comparison with u PCA u FDA u Eig

4. n Why Face Recognition n Past & Future n Methods n Face recognition and Face detection. Face Recognition

5. n Neural Networks n Learning & Training. n Back propagation n Feedforward network Neural Networks

6. Back Propagation Feedforward Network

7. Data sets

8. Algorithms for Face Recognition n Principal Component Analysis n Eigenfaces & Eigenvalues n Euclidean Distance n ARENA Reduce resolution

9. Implementation & Results n MATLAB n Algorithm u Train u test n Neural networks u Train u Test n p, resolution, number of images, output neurons,

10. Number of images p.p. / total n 420 n 315 n 15

11. Future n WEB n Interface n Image complexity & color n Face recognition using geometry n Hardware specification