**7. Conclusion**

It is demonstrated from the results that Haar based edges can be used not only to enhance image features but also to give an idea on where the objects of interest are located. The major advantages of Haar edges in LP character segmentation application are: ability to detect most edges in image, higher character segmentation rate on HD images, fewer noises (unwanted edges) when using the appropriate decomposition and threshold levels, and speed.

A licence plate algorithm under 40ms is capable of delivering 25 fps, which is in real-time and able to deal with vehicles moving at 70 miles per hour. Therefore, the results suggest that the proposed algorithm will work in real time with SD and HD images in both PC and DSP for embedded systems.

In conclusion, the methodology provides a unified character segmentation process that caters to number plates captured at any time of the day (both day and night), and also different types of noises existing in real World applications, low and high resolution images. It is observed that higher character segmentation rate is at higher decomposition levels; therefore the future work will focus on further DSP optimisation methods for implementing higher level decompositions on both HD and SD images.
