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车牌识别是构建智慧城市交通系统的重要技术,当前车牌识别系统对于单行车牌已经达到了较好的识别和应用效果,但无法满足对包含堆叠字符的车牌的识别需求。针对该问题,提出了一种基于深度学习且不依赖于字符分割的方法以识别含堆叠字符的车牌。首先对倾斜、扭曲的车牌进行投影矫正;然后使用MobileNet-SSD算法检测定位车牌中的单排字符和堆叠字符;之后将堆叠字符送入基于CTC损失的堆叠字符识别网络,进行非字符分割的端到端识别。实验结果表明,该算法不仅对含堆叠字符的车牌具有较高的识别精度,同时对倾斜、扭曲等复杂环境下的车牌具有鲁棒性,极大提高了车牌识别系统的通用性。 相似文献
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基于投影和固有特征结合的车牌字符分割方法 总被引:5,自引:1,他引:4
根据车牌字符的固有特征,提出一种新的基于投影的车牌字符分割方法.该方法首先对车牌图像进行预处理,检测车牌倾斜角度,如果倾斜角大于指定角度则进行车牌倾斜校正,然后利用车牌的水平方向投影去除车牌的上下边框以及铆钉,对处理得到的图像进行二值化.再根据车牌字符的排列规则和字符间距的关系,利用车牌的垂直投影定位字符,先分割出第二个和第三个字符,从第三个字符开始分割出后五个字符,再利用已分割字符的知识来分割前两个字符,然后对分割出来的候选字符块进行处理,有效解决字符粘连和断裂的情况,最终实现车牌字符的准确分割.实验结果证明,该方法有较好的分割效果. 相似文献
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针对以往车牌字符分割算法在复杂情况下分割准确率低的问题,提出了一种基于新邻域模板的连通域算法的车牌字符分割算法。采用基于新模板的连通域算法粗分割字符;通过自适应阈值投影法进行字符细分割;同时使用区域合并算法保证字符的完整性。实验结果表明,该算法将连通域法与投影法有效结合,能够同时解决汉字不连通、字符粘连和边框粘连等复杂情况,该算法对车牌字符进行分割正确率达99.5%。 相似文献
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以车牌识别的实用性为目的,设计一种鲁棒的车牌识别系统。首先提出了Sobel-Color算法,以Sobel边缘和颜色两种特征进行车牌定位,并结合MSER算法,设计了一种可靠的车牌定位方法来获取候选车牌区域,然后采用SVM算法对候选车牌区域进行车牌判断;最后根据车牌特征设计了一种车牌字符分割算法,能正确分割车牌的各个字符,并有效地去除车牌边缘部分的虚假字符,又根据分割出的车牌字符特征对LeNet-5深度网络模型进行改进,然后采用改进的LeNet-5网络对车牌字符进行识别。对设计的车牌识别系统进行了正常条件测试、恶劣条件测试以及效率测试等实验,实验结果表明设计的车牌定位和车牌判断方法具有较高的可靠性,车牌字符识别具有较高的准确率,因而设计的车牌识别系统具有较好的鲁棒性和实用性。 相似文献
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车牌自动识别方法中的关键技术研究 总被引:11,自引:2,他引:11
车辆牌照的自动识别是智能交通系统中一项很重要的技术。针对车牌识别的前期技术,即车牌定位、车牌图像的对比度判断和二值化、字符分割等技术进行了研究并提出了新的处理方法,实验结果表明提出的算法简洁、实时性好、处理正确率高,达到了实用的标准。 相似文献
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Statistical characteristics in HSI color model and position histogram based vehicle license plate detection 总被引:1,自引:0,他引:1
Visual perception takes an important role in the implementation of intelligent robot and transportation systems. Such perception
is to detect and recognize various objects in the real environment. Detecting license plate (LP) is a crucial and inevitable
component of the vehicle license plate recognition (VLPR) system. In this proposed algorithm, initially, HSI color model is
adopted to select automatically statistical threshold value for detecting candidate regions. According to different colored
LP, these candidate regions may include LP regions; geometrical properties of LP are then used for classification. The proposed
method is able to deal with candidate regions under independent orientation and scale of the plate. Finally, the decomposition
of candidate regions contains predetermined LP alphanumeric character by using position histogram to verify and detect vehicle
license plate (VLP) region. In experiment more than 150 images were used, and they were taken from the variety of conditions
such as complex scenes, illumination changing, distances and varied weather etc. Under these conditions, success of LP detection
has reached more than 94%. 相似文献
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车辆牌照的自动识别是目标自动识别的一种重要形式,针对车牌识别的后期技术,即牌照识别技术做了研究并提出了一种新的车牌识别方法,该网络由BP神经网络识别模块和模糊控制器构成,为了便于硬件实现,各模块相互独立,最后利用PVM网络在虚拟并行平台上实现了该识别网络,实验结果表明,和标准BP网络相比,该算法具有更加良好的性能,满足实时识别车牌的要求。 相似文献
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本文提出了一种基于结构特征和纹理特征的车牌定位方法:对车辆图像进行预处理,检测垂直方向的边缘,执行数学形态学操作,并利用车牌的结构特征粗定位车牌区域;提取车牌的纹理特征并构建特征向量,通过贝叶斯分类器来精确定位车牌区域。该方法不受车牌大小、位置等因素限制。对采集到的各种复杂背景、环境下的车辆图像进行了大量实验。实验证明:该方法定位率高,速度快,具有较好的鲁棒性。 相似文献
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Kaushik Deb Andrey Vavilin Jung-Won Kim Kang-Hyun Jo 《International Journal of Control, Automation and Systems》2010,8(5):975-984
Tilt correction is a very crucial and inevitable task in the automatic recognition of the vehicle license plate (VLP). In
this paper, according to the least square fitting with perpendicular offsets (LSFPO), the VLP region is fitted to a straight
line. After the line slope is obtained, rotation angle of the VLP is estimated. Then the whole image is rotated for tilt correction
in horizontal direction by this angle. Tilt correction in vertical direction by minimizing the variance of coordinates of
the projection points is proposed. Character segmentation is performed after horizontal correction and character points are
projected along the vertical direction after shear transform. Despite the success of VLP detection approaches in the past
decades, a few of them can effectively locate license plate (LP), even when vehicle bodies and LPs have similar color. A common
drawback of color-based VLP detection is the failure to detect the boundaries or border of LPs. In this paper, we propose
a modified recursive labeling algorithm for solving this problem and detecting candidate regions. According to different colored
LP, these candidate regions may include LP regions. Geometrical properties of the LP such as area, bounding box and aspect-ratio
are then used for classification. Various LP images were used with a variety of conditions to test the proposed method and
results are presented to prove its effectiveness. 相似文献
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Real-time license plate recognition (LPR) is an interesting but complicated research topic. Some previous works use discrete wavelet transform (DWT) to extract license plate (LP), however, most of them are not capable of dealing with complex environments such as the low-contrast source images and the dynamic-range problems. In this paper, we propose an algorithm for license plate localization (LPL) based on DWT. The LP can be extracted from different quality of source images under complex environments by using two frequency subbands. We first use the HL subband to search the features of LP and then verify the features by checking whether in the LH subband there exists a horizontal line around the feature or not. The proposed method can extract both front and back LPs of various vehicles. The experimental results show that the proposed method can achieve good LPL results with both short run-time and high accurate detection rate. 相似文献
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一种基于纹理和颜色综合特征的车牌定位新方法 总被引:7,自引:0,他引:7
根据车牌纹理及其几何形状的特点,提出了一种基于区域生成的车牌图像定位新方法,该方法灵活有效,通用性强,同时可以根据需要反复分割,直至取得最好效果;另外提出一种新的色彩分割方案,根据车牌的颜色特征在车牌区域内进行色彩分割,进一步地精确定位车牌区域,使得本方法不仅定位准确度高,而且分割精确度也很好。 相似文献
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车牌定位是自动车牌识别系统的一个关键步骤,车牌定位结果直接影响对车牌的最终识别效果。因此为了保证实际应用中车牌的识别准确率,文中提出了一种新的车牌定位算法,该算法利用一种改进的快速模糊边缘检测算法来进行车牌图像的边缘检测,得到整个原车牌图像的边缘图像,然后基于边缘图像的丰富的边缘信息设计一个高效、准确的车牌区域定位算法,检测出车牌区域。实验结果表明:算法定位速度较快、准确度较高,具有良好的应用前景。 相似文献