公开(公告)号：US09400936B2

公开(公告)日：2016-07-26

申请号：US14567000

申请日：2014-12-11

Applicant: Xerox Corporation

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

IPC: G06K9/00 ,  G06K9/20 ,  G06K9/32 ,  G06T7/00

CPC classification number: G06K9/3241 ,  G06K9/3258 ,  G06K9/723 ,  G06K2209/01 ,  G06K2209/15

Abstract: Methods and systems for tag recognition in captured images. A candidate region can be localized from regions of interest with respect to a tag and a tag number shown in the regions of interest within a side image of a vehicle. A number of confidence levels can then be calculated with respect to each digit recognized as a result of an optical character recognition operation performed with respect to the tag number. Optimal candidates within the candidate region can be determined for the tag number based on individual character confidence levels among the confidence levels. Optimal candidates from a pool of valid tag numbers can then be validated using prior appearance probabilities and data returned, which is indicative of the most probable tag to be detected to improve image recognition accuracy.

Abstract translation: 捕获图像中标签识别的方法和系统。 候选区域可以相对于标签和感兴趣区域中所示的在车辆侧面图像内的标签号进行定位。 然后可以相对于作为对标签号执行的光学字符识别操作的结果识别的每个数字来计算多个置信水平。 可以基于置信水平中的个人字符置信水平来确定候选区域内的最佳候选人的标签号码。 然后可以使用先前出现的概率和返回的数据来验证来自有效标签号码池的最佳候选者，这表示要检测的最可能标签以提高图像识别精度。

公开(公告)号：US20160162761A1

公开(公告)日：2016-06-09

申请号：US14564347

申请日：2014-12-09

Applicant: Xerox Corporation

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

IPC: G06K9/72 ,  G06K9/42 ,  G06K9/46 ,  G06K9/00 ,  G06K9/60 ,  G06K9/62 ,  G06K9/78 ,  G06K9/32 ,  G06K9/58

CPC classification number: G06K9/00456 ,  G06K9/00771 ,  G06K9/325 ,  G06K2209/01 ,  G06K2209/15

Abstract: Methods and systems for localizing numbers and characters in captured images. A side image of a vehicle captured by one or more cameras can be preprocessed to determine a region of interest. A confidence value of series of windows within regions of interest of different sizes and aspect ratios containing a structure of interest can be calculated. Highest confidence candidate regions can then be identified with respect to the regions of interest and at least one region adjacent to the highest confidence candidate regions. An OCR operation can then be performed in the adjacent region. An identifier can then be returned from the adjacent region in order to localize numbers and characters in the side image of the vehicle.

Abstract translation: 用于本地化捕获图像中的数字和字符的方法和系统。 可以对由一个或多个摄像机捕获的车辆的侧面图像进行预处理，以确定感兴趣的区域。 可以计算不同尺寸和高宽比的感兴趣区域中的一系列窗口的置信度值，其中包含感兴趣的结构。 然后可以相对于感兴趣区域和与最高置信候选区域相邻的至少一个区域来识别最高置信候选区域。 然后可以在相邻区域中执行OCR操作。 然后可以从相邻区域返回标识符，以便定位车辆侧面图像中的数字和字符。