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    Method and system for detection-based segmentation-free license plate recognition
    1.
    发明授权
    Method and system for detection-based segmentation-free license plate recognition 有权

    公开(公告)号：US10068146B2

    公开(公告)日：2018-09-04

    申请号：US15052941

    申请日：2016-02-25

    Applicant: Xerox Corporation

    Inventor： Orhan Bulan ,  Palghat Ramesh ,  Vladimir Kozitsky

    IPC: G06K9/32 ,  G06K9/62

    Abstract: A detection-based segmentation-free method and system for license plate recognition. An image of a vehicle is initially captured utilizing an image-capturing unit. A license plate region is located in the image of the vehicle. A set of characters can then be detected in the license plate region and a geometry correction performed based on a location of the set of characters detected in the license plate region. An operation for sweeping an OCR across the license plate region can be performed to infer characters with respect to the set of characters and locations of the characters utilizing a hidden Markov model and leveraging anchored digit/character locations.

    Segmentation free approach to automatic license plate recognition
    4.
    发明授权
    Segmentation free approach to automatic license plate recognition 有权
    自动车牌识别的分段免费方法

    公开(公告)号：US09418305B1

    公开(公告)日：2016-08-16

    申请号：US14699289

    申请日：2015-04-29

    Applicant: Xerox Corporation

    Inventor： Palghat S. Ramesh ,  Vladimir Kozitsky ,  Aaron Michael Burry

    IPC: G06K9/00 ,  G06K9/32 ,  G06K9/78

    CPC classification number: G06K9/3258 ,  G06K9/348 ,  G06K2209/01 ,  G06K2209/15

    Abstract: A segmentation free method and system for automatic license plate recognition. An OCR classifier can be swept across an image of a license plate. Characters and their locations can be inferred with respect to the image of the license plate using probabilistic inference based on a Hidden Markov Model (HMM). A language model can be combined with a license plate candidate from the HMM to infer the optimal or best license plate code. The language model can be configured by employing a corpus of license plate codes, wherein the corpus includes a distribution representative of training sets and tests sets.

    Abstract translation: 一种自动车牌识别的无分割方法和系统。 OCR分类器可以扫过牌照的图像。 可以使用基于隐马尔可夫模型（HMM）的概率推理，相对于车牌的图像来推断人物及其位置。 语言模型可以与HMM的车牌候选人结合起来推断最佳或最佳的车牌代码。 语言模型可以通过使用车牌代码语料库进行配置，其中语料库包括训练集和测试集的分布代表。

    ANNOTATION FREE LICENSE PLATE RECOGNITION METHOD AND SYSTEM
    5.
    发明申请
    ANNOTATION FREE LICENSE PLATE RECOGNITION METHOD AND SYSTEM 有权
    免提许可证认证方法和系统

    公开(公告)号：US20160203380A1

    公开(公告)日：2016-07-14

    申请号：US14658713

    申请日：2015-03-16

    Applicant: Xerox Corporation

    Inventor： Orhan Bulan ,  Vladimir Kozitsky ,  Aaron M. Burry

    IPC: G06K9/32 ,  G06K9/62 ,  G06T7/00 ,  G06K9/18

    CPC classification number: G06T7/0079 ,  G06K9/3258 ,  G06K9/6256 ,  G06K9/6277 ,  G06K2209/01

    Abstract: Methods and systems for recognizing a license plate character. Synthetic license plate character images are generated for a target jurisdiction. A limited set of license plate images can be captured for a target jurisdiction utilizing an image-capturing unit. The license plate images are then segmented into license plate character images for the target jurisdiction. The license plate character images collected for the target jurisdiction can be manually labeled. A domain adaptation technique can be utilized to reduce the divergence between synthetically generated and manually labeled target jurisdiction image sets. Additionally, OCR classifiers are trained utilizing the images after the domain adaptation method has been applied. One or more input license plate character images can then be received from the target jurisdiction. Finally, the trained OCR classifier can be employed to determine the most likely labeling for the character image and a confidence associated with the label.

    Abstract translation: 识别车牌字符的方法和系统。 为目标管辖区生成综合车牌字符图像。 使用图像捕获单元，可以针对目标管辖区捕获有限的车牌图像。 然后将车牌图像分割为目标司法管辖区的车牌字符图像。 为目标管辖区收集的车牌字符图像可以手动标记。 可以利用域适配技术来减少合成生成的和手动标记的目标管辖图像集之间的差异。 另外，在应用域适配方法之后，使用图像对OCR分类器进行训练。 然后可以从目标管辖区接收一个或多个输入牌照字符图像。 最后，训练有素的OCR分类器可用于确定人物图像最可能的标记和与标签相关的置信度。

    Emergency rescue vehicle video based violation enforcement method and system
    6.
    发明授权
    Emergency rescue vehicle video based violation enforcement method and system 有权
    紧急救援车辆视频违规执法方法和制度

    公开(公告)号：US09104939B2

    公开(公告)日：2015-08-11

    申请号：US13715041

    申请日：2012-12-14

    Applicant: Xerox Corporation

    Inventor： Richard W. Seyfried ,  Aaron Michael Burry ,  Vladimir Kozitsky

    IPC: G06K9/00 ,  G06K9/32

    CPC classification number: G06K9/3258 ,  G06K9/00791 ,  G06K2209/15

    Abstract: Disclosed are methods and systems for monitoring and reporting road violations of vehicles sharing roads with responding emergency vehicles. According to an exemplary method video is captured from a forward and/or rear facing camera mounted to an emergency vehicle, and the video is processed to identify any vehicles in violation within a prescribed distance from the emergency vehicle. A license plate id of a vehicle determined to be in violation is identified and communicated to the appropriate authorities.

    Abstract translation: 公开了监测和报告与应急车辆共享道路的车辆的道路违规的方法和系统。 根据示例性方法，从安装到紧急车辆的前方和/或后方相机捕获视频，并且处理视频以识别违规车辆在距紧急车辆规定距离内的任何车辆。 确定违章的车辆的车牌号被确定并传达给有关当局。

    Dram c adjustment of automatic license plate recognition processing based on vehicle class information
    7.
    发明授权
    Dram c adjustment of automatic license plate recognition processing based on vehicle class information 有权
    基于车辆类信息的自动车牌识别处理动态调整

    公开(公告)号：US09082038B2

    公开(公告)日：2015-07-14

    申请号：US13904559

    申请日：2013-05-29

    Applicant: Xerox Corporation

    Inventor： Vladimir Kozitsky ,  Aaron Michael Burry

    IPC: G06K9/00 ,  G06K9/32

    CPC classification number: G06K9/3258 ,  G06K9/685 ,  G06K2209/15

    Abstract: Methods and systems for improving automated license plate recognition performance. One or more images of a vehicle can be captured via an automated license plate recognition engine. Vehicle class information associated with the vehicle can be obtained using the automated license place recognition engine. Such vehicle class information can be analyzed with respect to the vehicle. Finally, data can be dynamically adjusted with respect to the vehicle based on a per image basis to enhance recognition of the vehicle via the automated license plate recognition engine.

    Abstract translation: 提高自动牌照识别性能的方法和系统。 可以通过自动车牌识别引擎捕获车辆的一个或多个图像。 与车辆相关的车辆类别信息可以使用自动许可证位置识别引擎获得。 可以相对于车辆分析这样的车辆类别信息。 最后，基于每个图像可以相对于车辆动态地调整数据，以通过自动车牌识别引擎增强对车辆的识别。

    Methods, systems and processor-readable media for designing a license plate overlay decal having infrared annotation marks
    8.
    发明授权
    Methods, systems and processor-readable media for designing a license plate overlay decal having infrared annotation marks 有权
    用于设计具有红外注释标记的牌照覆盖贴花的方法，系统和处理器可读介质

    公开(公告)号：US09002066B2

    公开(公告)日：2015-04-07

    申请号：US13887541

    申请日：2013-05-06

    Applicant: Xerox Corporation

    Inventor： Vladimir Kozitsky ,  Peter Paul ,  Aaron Michael Burry

    IPC: G06K9/00 ,  G08G1/01 ,  B60Q1/56

    CPC classification number: G06K9/2018 ,  G06K15/021 ,  G06K2209/15 ,  G06K2215/0082 ,  G08G1/0175

    Abstract: Methods, systems and processor-readable media for providing a license plate overlay decal with an infrared readable annotation mark for an optical character recognition and segmentation. The annotation mark with respect to character image of a license plate can be designed by training an ALPR engine to improve automatic license plate recognition performance. A plate overlay decal can be rendered with the annotation mark and attached to a license plate. The annotation mark can also be directly placed on the license plate when the license plate is rendered. The annotation mark is visible when illuminated by an infrared light and the license plate appears normal in visible light. The annotation mark enables an ALPR imaging system to obtain more information for each character and utilize the information to improve conclusion accuracy.

    Abstract translation: 方法，系统和处理器可读介质，用于提供用于光学字符识别和分割的红外可读注释标记的牌照覆盖贴花。 关于车牌字符图像的注解标记可以通过训练一个ALPR引擎来提高车牌自动识别性能来设计。 可以使用注释标记渲染板覆盖贴花并附加到牌照。 当车牌被渲染时，注解标记也可以直接放置在车牌上。 注意标志在被红外线照射时可见，并且牌照在可见光下显示正常。 注释标记使得ALPR成像系统可以获得每个角色的更多信息，并利用该信息来提高结论准确性。

    METHODS AND SYSTEMS FOR CHARACTER SEGMENTATION IN AUTOMATED LICENSE PLATE RECOGNITION APPLICATIONS
    9.
    发明申请
    METHODS AND SYSTEMS FOR CHARACTER SEGMENTATION IN AUTOMATED LICENSE PLATE RECOGNITION APPLICATIONS 有权
    自动许可证识别应用中字符分段的方法与系统

    公开(公告)号：US20140307924A1

    公开(公告)日：2014-10-16

    申请号：US13862658

    申请日：2013-04-15

    Applicant: XEROX CORPORATION

    Inventor： Claude S. Fillion ,  Aaron Michael Burry ,  Vladimir Kozitsky

    IPC: G06K9/46

    CPC classification number: G06K9/46 ,  G06K9/34 ,  G06K2209/15

    Abstract: Methods and systems for character segmentation in an automatic license plate recognition application. One or more images of a license plate are acquired. Then, a pixel-level importance may be calculated with respect to the image(s) of the license plate based on information within the image, such as gradient information and raw grayscale information. A seam selection can be then applied with respect to the pixel-level importance map and the image(s) by enforcing constraints based on known characteristics of license plates in order to provide for character segmentation with respect to the image(s) of the license plate.

    Abstract translation: 自动车牌识别应用中字符分割的方法和系统。 获取牌照的一张或多张图像。 然后，可以基于图像内的信息，例如梯度信息和原始灰度信息，相对于车牌的图像来计算像素级重要性。 然后可以通过基于车牌的已知特征执行约束来相对于像素级重要性图和图像应用接缝选择，以便提供关于许可证的图像的字符分割 盘子。

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