Hough transform is powerful for detecting straight

line in noisy image or degeneration image

Fast Hough transform(FHT) adopts a hierarchical technique and a k-tree data structure. It leads to a reduction in both computation and storage. In this paper

a technique applied FHT to real-time object recognition system. We now accomplished the computer simulation for the real-time object recognition system is described. The system can output the position of the object in an complicated background. Due to the HT

the system is very effective in recognizing object in an image with noise

gaps and complicated background. After determining a mask

the object recognition in this system is not affected by the background variation

and it has the feature of object rotation invariant.