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In this paper, we describe two new approaches for segmenting and recognizing license plate. The first method exploits the fact that edges are most densely found in the region that contains the license plate. We have proposed a weight allocation scheme which segments the region with the most dense edges. The second method uses a hybrid neural network which we propose. The efficiency of the license plate recognition systems using the proposed methods have been studied.