基于改进模板匹配的快速车牌分割与识别方法

Jin Quan, S. Quan, Ying Shi, Z. Xue
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引用次数: 10

摘要

字符分割是车牌识别系统的重要步骤,本文提出了一种新的字符分割和识别方法,利用改进的霍夫变换方法对车牌图像进行校正,然后采用归一化方法对车牌字符进行分割,最后采用改进的模板匹配方法对车牌字符进行识别。实验结果表明,本文提出的方法简单可行,识别速度快,分割效果好,具有实际应用价值。关键词:车牌识别;投影;模板匹配;字符分割
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fast License Plate Segmentation and Recognition Method Based on the Modified Template Matching
Character segmentation is an important step in a LPR system, this paper presents a new method for character segmentation and recognition, correcting the image of license plate which uses the improved method of Hough Transform, then employs the normalization method to segment the characters of the license plate and finally utilizes a modified template matching method to recognize the characters of the license plate. The result of the experiment shows that the method presented in the paper is easy and feasible, faster in recognizable speed, performs well in segmentation, and is valuable in practical application. Keywords-License plate recognition; Projection; Templates matching; Character segmentation
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