利用直方图调光算法来提高车牌识别率
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国家自然科学基金(61272364)


Enhancing License Plate Recognition Rate through Histogram Dimming Algorithm
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    摘要:

    在现有各种调光方法的研究基础上,提出一种基于图像策略的先进调光算法-车牌直方图调光算法的车牌抓拍与识别方法.首先,利用车牌的直方图分布来判断曝光信息,根据曝光信息,在亮度模式下通过调节亮度基准的方式实现在复杂光照条件下的自动曝光控制,克服了现有调光方法的不足.同时本文也介绍了该调光算法的具体实现流程.最后以"智通慧眼"车牌抓拍识别设备为例,对该算法进行了实地测试.实验结果表明,与传统调光的车牌识别算法进行比较,本文提出的算法可以有效地提高车牌识别率,并可以直接在车牌抓拍与识别的前端嵌入式视频采集设备中得到应用.

    Abstract:

    With the study of existing dimming methods and the consideration of the current research situation about AEC algorithm, an original feedback auto dimming algorithm based on image strategy which use the information of histogram of license plate has been proposed in this paper. The algorithm which has been presented uses distribution of histogram of license plate to judge the exposure information, and then takes advantage of the judgement information by adjusting brightness base under brightness mode to achieve automatic exposure control at the circumstance of complex lighting conditions, which overcomes the drawbacks of existing dimming methods. Meanwhile, the procedures of how above dimming algorithm works has been introduced in detail and then the algorithm has been effectively tested in practice. Finally, the algorithm is a field test conducted field tests based on the existing dimming method of "Smart Zhitong Eye". The experimental results show that the proposed algorithm can effectively improve the recognition rate compared with the traditional dimming algorithm of license plate recognition, and can be directly applied in the front-end embedded video acquisition and recognition of license plate capture equipment.

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杨博雄,耿文波,黄静.利用直方图调光算法来提高车牌识别率.计算机系统应用,2016,25(2):196-201

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  • 收稿日期:2015-05-18
  • 最后修改日期:2015-07-02
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  • 在线发布日期: 2016-02-23
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