公开(公告)号：US20160307061A1

公开(公告)日：2016-10-20

申请号：US14688255

申请日：2015-04-16

Applicant: Xerox Corporation

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

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

CPC classification number: G06K9/6256 ,  G06K2209/01 ,  G06K2209/15

Abstract: Methods and systems for bootstrapping an OCR engine for license plate recognition. One or more OCR engines can be trained utilizing purely synthetically generated characters. A subset of classifiers, which require augmentation with real examples, along how many real examples are required for each, can be identified. The OCR engine can then be deployed to the field with constraints on automation based on this analysis to operate in a “bootstrapping” period wherein some characters are automatically recognized while others are sent for human review. The previously determined number of real examples required for augmenting the subset of classifiers can be collected. Each subset of identified classifiers can then be retrained as the number of real examples required becomes available.

Abstract translation: 引导OCR引擎进行车牌识别的方法和系统。 可以使用纯合成生成的字符来训练一个或多个OCR引擎。 可以识别分类器的一个子集，它们需要通过实例增加，每个需要多少个实例。 然后，可以将OCR引擎部署到具有基于该分析的自动化约束的现场，以在“自举”期间操作，其中一些字符被自动识别，而其他人被发送供人审查。 可以收集先前确定的用于增加分类器子集所需的实例的数量。 随着所需实际数量的可用数量的增加，识别的分类器的每个子集可以被重新训练。

公开(公告)号：US20140363052A1

公开(公告)日：2014-12-11

申请号：US13911448

申请日：2013-06-06

Applicant: Xerox Corporation

Inventor： Vladimir Kozitsky ,  Aaron Burry ,  Claude Fillion

IPC: G06K9/00

CPC classification number: G06K9/00624 ,  G06K9/325 ,  G06K9/34 ,  G06K2209/15

Abstract: Methods, systems and processor-readable media for adaptive character segmentation in an automatic license plate recognition application. A region of interest can be identified in an image of a license plate acquired via an automatic license plate recognition engine. Characters in the image with respect to the region of interest can be segmented using a histogram projection associated with particular segmentation threshold parameters. The characters in the image can be iteratively validated if a minimum number of valid characters is determined based on the histogram projection and the particular segmentation threshold parameters to produce character images sufficient to identify the license plate.

Abstract translation: 用于自动车牌识别应用中自适应角色分割的方法，系统和处理器可读介质。 可以通过自动车牌识别引擎获取的牌照的图像中识别感兴趣的区域。 可以使用与特定分割阈值参数相关联的直方图投影来分割相关于感兴趣区域的图像中的字符。 如果基于直方图投影和特定分割阈值参数来确定最小数量的有效字符，则可以迭代地验证图像中的字符，以产生足以识别牌照的字符图像。

公开(公告)号：US09501707B2

公开(公告)日：2016-11-22

申请号：US14688255

申请日：2015-04-16

Applicant: Xerox Corporation

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

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

CPC classification number: G06K9/6256 ,  G06K2209/01 ,  G06K2209/15

Abstract: Methods and systems for bootstrapping an OCR engine for license plate recognition. One or more OCR engines can be trained utilizing purely synthetically generated characters. A subset of classifiers, which require augmentation with real examples, along how many real examples are required for each, can be identified. The OCR engine can then be deployed to the field with constraints on automation based on this analysis to operate in a “bootstrapping” period wherein some characters are automatically recognized while others are sent for human review. The previously determined number of real examples required for augmenting the subset of classifiers can be collected. Each subset of identified classifiers can then be retrained as the number of real examples required becomes available.

Abstract translation: 引导OCR引擎进行车牌识别的方法和系统。 可以使用纯合成生成的字符来训练一个或多个OCR引擎。 可以识别分类器的一个子集，它们需要通过实例增加，每个需要多少个实例。 然后，可以将OCR引擎部署到具有基于该分析的自动化约束的现场，以在“自举”期间操作，其中一些字符被自动识别，而其他人被发送供人审查。 可以收集先前确定的用于增加分类器子集所需的实例的数量。 随着所需实际数量的可用数量的增加，识别的分类器的每个子集可以被重新训练。

公开(公告)号：US09042647B2

公开(公告)日：2015-05-26

申请号：US13911448

申请日：2013-06-06

Applicant: Xerox Corporation

Inventor： Vladimir Kozitsky ,  Aaron Burry ,  Claude Fillion

IPC: G06K9/00

CPC classification number: G06K9/00624 ,  G06K9/325 ,  G06K9/34 ,  G06K2209/15

Abstract: Methods, systems and processor-readable media for adaptive character segmentation in an automatic license plate recognition application. A region of interest can be identified in an image of a license plate acquired via an automatic license plate recognition engine. Characters in the image with respect to the region of interest can be segmented using a histogram projection associated with particular segmentation threshold parameters. The characters in the image can be iteratively validated if a minimum number of valid characters is determined based on the histogram projection and the particular segmentation threshold parameters to produce character images sufficient to identify the license plate.

Abstract translation: 用于自动车牌识别应用中的自适应角色分割的方法，系统和处理器可读介质。 可以通过自动车牌识别引擎获取的牌照的图像中识别感兴趣的区域。 可以使用与特定分割阈值参数相关联的直方图投影来分割相关于感兴趣区域的图像中的字符。 如果基于直方图投影和特定分割阈值参数来确定最小数量的有效字符，则可以迭代地验证图像中的字符，以产生足以识别牌照的字符图像。