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The rapid increase in the rapid development of transportation , as well as a variety of vehicles , is to facilitate people's lives while also raises many new problems . Therefore , the requirements for traffic monitoring , security management is getting higher and higher , the manpower management alone can no longer meet the need , an urgent need to adopt intelligent traffic management system (Intelligent Transportation System, ITS) to its effective management . Wavelet feature extraction has good performance in terms of energy conservation , to be applied in terms of file compression , network communication , semantics transmission . Wavelet is a function defined in a finite interval and zero mean . The main features of the wavelet has a limited duration , the frequency and amplitude of the mutation , irregular or asymmetric waveform amplitude average value is zero in the entire time range , and has good locality . Wavelet multi-resolution , multi-scale technology applications in vehicle detection image , especially on the high-resolution graphics on the front face of the car , license plate and vehicle signs is very clear, the vehicle contour on the small size , low-resolution images are more clear , This completed two recognition tasks can be solved with a camera . Wavelet multi-resolution , multi-scale technology can be applied to the vehicle on the multi-level recognition using wavelet transform of a scale , a resolution of the image and the template contrast , according to the comparison result of the completion of the form of multiple voting , the decision of the times whether the match was successful. Wavelet scaling , displacement function , image search vehicles to mark and license plate recognition are easy to reach the positioning effect .
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