基于HSI颜色模型和几何属性的孟加拉车牌检测方法

K. Deb, M. Hossen, M. I. Khan, M. R. Alam
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引用次数: 19

摘要

孟加拉车牌检测(BVLPD)在车牌识别(VLPR)系统中起着重要而不可避免的作用。该方法最具挑战性的部分是从车辆图像中检测车牌区域。本文提出了一种车辆图像分析算法,提取车辆图像中的LP位置。首先采用HSI颜色模型选择检测候选区域的阈值,然后利用LP的不同几何属性如面积、边界框、纵横比来确定候选区域是否包含LP。最后利用强度直方图对候选区域进行验证。该方法能够处理不同尺度下的候选区域。在实验中,使用了100多张图像,这些图像是在不同的条件下拍摄的,例如光照不均匀、场景复杂、天气变化以及车辆到相机的距离变化。车牌检测算法的总体成功率为85%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bangladeshi Vehicle License Plate Detection method based on HSI color model and geometrical properties
Bangladeshi Vehicle License Plate Detection (BVLPD) plays an important and inevitable role in Vehicle License Plate Recognition (VLPR) system. The most challenging part of this method is to detect the region of the license plate from the vehicle image. In this paper, we propose an algorithm for analyzing the vehicle image to extract the LP position in the image of the vehicle. Initially, HSI color model is adopted to select a threshold for detecting candidate regions and then different geometrical properties of LP such as area, bounding box, aspect ratio are used to determine whether the candidate regions contain LP or not. Finally the candidate region is verified by intensity histogram. The proposed method is able to deal with candidate regions under different scale of the plate. In the experiment more than 100 images are used which are taken under different conditions such as uneven illumination, complex scenes, varied weather and varied distances from the vehicle to camera. The overall rate of success of the license plate detection algorithm is 85%.
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