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Algorithm for Character Extraction from Vehicle Image

Department of Computer Science & Engineering, Shanghai Jiaotong University, China  
An algorithm applied to character extraction of vehicle image is introduced. In regard to the complicated background of vehicle image and the variety of illuminating conditions, it combined a binarization method based on one dimensional edge detection with an adaptive morphological filtering method. The binarization method is based on one dimensional edge detection to effectively utilize the gray scale and texture feature of the character images. It is much more robust and faster than the traditional thresholding methods and edge detecting operator methods. The morphological filtering method is different from the common ones in that its elements is not fixed sized but adaptive to the sub domain and neighborhood, in order to effectively extract the targets. A dimension diminishing method is also used to accelerate the morphological filtering process. Having been used in some automatic tolling systems, the algorithm is proved to be adaptive to various environments and illuminations, and achieves accuracy and processing speed competence for real time applications.
【Fund】: 国防预研基金
【CateGory Index】: U495,TP391.41
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