Assume that you need to develop an IA-based system for face recognition. This system should learn from a face image dataset which is periodically updated (the first requirement). Besides, new persons can be added to this data set (the second requirement). Each person is added in a series of a few pictures to enhance the accuracy of face recognition under a variable background. Variations in the background are typically caused by different light, emotions, noise, etc (the third requirement). Therefore, your system should provide the best accuracy of face recognition under the above three conditions. To enhance the face recognition images can be processed by normalising and filtering. Report Contents: 1. The description and structure of image data 2. Analysis of image features 3. Analysis of methods for feature processing and extraction 4. Analysis of recognition methods 5. Design a recognition method 6. Conclusions 7. References The reference list must be in Harvard standard format.