We suggest a the corner based Fourier Descriptors of the object

which are taken as the features of 2-D objects and form the input of BP neural network. A multilayered perceptron architecture is used for the recognition of airplane. The scheme is invariant to rotation、translation and scale changes to object. The simulation results show that the pesented scheme gives very high recoginition accuracy and good associability.