This document outlines an image morphing thesis that aims to create a database of expressions without using images of real people. The thesis will generate a database of 350 morphed images across 10 subjects, 5 faces each, and 7 expressions. An experiment will be conducted to test recognition rates using various methods on a training set of 40 images and testing set of 10 images. The results show that RCV, FisherFace and CV methods achieve over 90% recognition rates while EigenFace and NNC are lower at around 60%. Future work will compare the results to other related research.