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In this paper, a novel license plate recognition approach for community monitor using hausdorff distance is proposed. This method reduces the problem of rotation and translation transformation between the license plate and model rely on finding the minimizing the hausdorff distance between two point sets. The algorithm utilizes color and edge characters, meanwhile, combines some conventional image prepro- cessing methods to get several regions of interest, and the least trimmed square hausdorff dis-tance is com- puted to select the validity license plate and recognize the detail characters according to a well-organized digital models and the match threshold is defined in ad-vance. The result of algorithm shows some tolerant of small location errors occurring in region of interest that has good performance and efficiency.

A License Plate Recognition Method for Community Monitor Based on Hausdorff Distance