Gabor wavelet neural network image target recognition base on multi-DSP combined structures

Multi-DSP (digital signal processing) combined structure systems have been designed by TMS320C5409 according to the character of parallel-series system, and the algorithm of Gabor wavelet neural network is presented. The algorithms are divided into different parallel-series structures in operation, the feature vectors of the image target are extracted by series DSP1, and many DSP using different net structures are inputted in parallel to operate the BP algorithms. The classified result was given, adding averaged to BP net post-probability by series DSP6. The characteristic of the neural networks parallel algorithms was exerted. The Simulink experiment was done by the method applied on nine types of plane target recognition, the results indicated that the recognition time was 2.8 ms and the recognition rate was 98%.