Proposal Final.docx

NEURAL NETWORK BASED OBJECT RECOGNITION USING COLOR BLOCK MATCHING CS - 351Artificial Intelligence The main idea of this project will be to design and implement an algorithm for the fast classification of colour regions in pictures with the help of neural networks. The algorithm divides the picture into discrete blocks which are analysed independently. Average values of the three colour channels are extracted from the block and classified by a neural network. Classification is made by a modified back propagation network. After the classification a "best fit" search is used to find the best matching block.

Rida-e-Fatima

2012-314

Zainub Wahid

2012-420