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1.发明申请METHOD AND SYSTEM FOR TROUBLESHOOTING CHARGING AND PHOTORECEPTOR FAILURE MODES ASSOCIATED WITH A XEROGRAPHIC PROCESS 有权与XEROGRAPHIC PROCESSING相关的故障排除充电和光电故障模式的方法和系统公开(公告)号：US20130129365A1
公开(公告)日：2013-05-23
申请号：US13302332
申请日：2011-11-22
申请人： Aaron Michael Burry , Surendar Jeyadev , Palghat S. Ramesh , Eric Scott Hamby , Vladimir Kozitsky , Gary Walker Skinner
发明人： Aaron Michael Burry , Surendar Jeyadev , Palghat S. Ramesh , Eric Scott Hamby , Vladimir Kozitsky , Gary Walker Skinner
IPC分类号： G03G15/02
CPC分类号： G03G15/5037 , G03G2215/0132
摘要： This disclosure provides methods and systems for troubleshooting charging and photoreceptor failure modes associated with a xerographic process. Specifically, according to an exemplary method the photoreceptor decay behavior, with and without the effects of depletion, are quantified and used to determine a performance state of one or more of the charging stations and the photoreceptor surface.
摘要翻译： 本公开提供用于排除与静电印迹过程相关联的充电和感光器失效模式的方法和系统。 具体地，根据示例性方法，定量并且使用具有和不具有耗尽作用的感光体衰减行为来确定一个或多个充电站和感光体表面的性能状态。
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2.发明授权Method and system for troubleshooting charging and photoreceptor failure modes associated with a xerographic process 有权用于排除与静电复印过程相关的充电和光感受器故障模式的方法和系统公开(公告)号：US08611769B2
公开(公告)日：2013-12-17
申请号：US13302332
申请日：2011-11-22
申请人： Aaron Michael Burry , Surendar Jeyadev , Palghat S. Ramesh , Eric Scott Hamby , Vladimir Kozitsky , Gary Walker Skinner
发明人： Aaron Michael Burry , Surendar Jeyadev , Palghat S. Ramesh , Eric Scott Hamby , Vladimir Kozitsky , Gary Walker Skinner
IPC分类号： G03G5/00
CPC分类号： G03G15/5037 , G03G2215/0132
摘要： This disclosure provides methods and systems for troubleshooting charging and photoreceptor failure modes associated with a xerographic process. Specifically, according to an exemplary method the photoreceptor decay behavior, with and without the effects of depletion, are quantified and used to determine a performance state of one or more of the charging stations and the photoreceptor surface.
摘要翻译： 本公开提供用于排除与静电印迹过程相关联的充电和感光器失效模式的方法和系统。 具体地，根据示例性方法，定量并且使用具有和不具有耗尽作用的感光体衰减行为来确定一个或多个充电站和感光体表面的性能状态。
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公开(公告)号：US20090326863A1
公开(公告)日：2009-12-31
申请号：US12145847
申请日：2008-06-25
CPC分类号： G03G15/755 , G03G2215/0016
摘要： A system and method for measuring a substrate edge signal for image sensor phasing. An intermediate transfer substrate edge signal can be effectively mapped by a substrate edge sensor and recorded for at least one complete revolution. A substrate edge signal from an inter-document zone sampled from any region of a substrate in runtime by a process sensor can also be recorded. A comparison or cross-correlation can be applied between the bare intermediate transfer substrate edge signal and the substrate edge signal sensed in the inter-document zone. A cross-correlation algorithm returns a maximum peak value when the two signals are registered in-phase with one another. This information can then be used to register the bare belt process sensor signal and the process sensor signal over the region of interest in-phase with one another. A flat-fielding algorithm can also be applied to the phase-aligned process sensor data to remove artifacts and compensate for substrate (e.g., belt) induced non-uniformities.
摘要翻译： 一种用于测量图像传感器定相的衬底边缘信号的系统和方法。 中间转印基板边缘信号可以被基板边缘传感器有效地映射并记录至少一整圈。 还可以记录来自在运行时间中由工艺传感器从衬底的任何区域采样的原文件间区域的衬底边缘信号。 可以在裸露的中间转移衬底边缘信号和在文档间区域中感测到的衬底边缘信号之间应用比较或互相关。 当两个信号彼此同相注册时，互相关算法返回最大峰值。 然后可以将该信息用于将裸带过程传感器信号和过程传感器信号注册在相关区域的相位上。 平场算法也可以应用于相位对准的过程传感器数据以去除伪影并补偿衬底（例如，带）诱导的不均匀性。
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公开(公告)号：US09014432B2
公开(公告)日：2015-04-21
申请号：US13464357
申请日：2012-05-04
CPC分类号： G06K9/3258 , G06K2209/15
摘要： A method determines a license plate layout configuration. The method includes generating at least one model representing a license plate layout configuration. The generating includes segmenting training images each defining a license plate to extract characters and logos from the training images. The segmenting includes calculating values corresponding to parameters of the license plate and features of the characters and logos. The segmenting includes estimating a likelihood function specified by the features using the values. The likelihood function measures deviations between an observed plate and the model. The method includes storing a layout structure and the distributions for each of the at least one model. The method includes receiving as input an observed image including a plate region. The method includes segmenting the plate region and determining a license plate layout configuration of the observed plate by comparing the segmented plate region to the at least one model.
摘要翻译： 一种方法确定车牌布局配置。 该方法包括生成表示车牌布局配置的至少一个模型。 生成包括分割训练图像，每个训练图像定义牌照以从训练图像中提取字符和徽标。 分段包括计算与车牌参数对应的值和字符和标志的特征。 分段包括使用这些值估计由特征指定的似然函数。 似然函数测量观察板和模型之间的偏差。 所述方法包括存储所述至少一个模型中的每一个的布局结构和分布。 该方法包括接收包括板区域的观察图像作为输入。 该方法包括通过将分割板区域与至少一个模型进行比较来分割板区域并确定观察板块的牌照布局配置。
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5.发明授权公开(公告)号：US08781172B2
公开(公告)日：2014-07-15
申请号：US13435875
申请日：2012-03-30
CPC分类号： G06K9/3258 , G06K2209/15
摘要： Methods, systems and processor-readable media for enhancing performance of an automated license plate recognition system utilizing multiple results. Multiple images can be captured as a vehicle passes through an observation zone and each image can be processed utilizing an ALPR unit to obtain a plate code result and associated confidence values. Iterative processing of character level information across an OCR code followed by a higher level error checking based on learned context information can be performed. A string correlation approach can be employed to optimally align the OCR code from multiple images despite noise factors. The OCR confidence and state mask information can then be leveraged to select a character for an output plate code taking into account the ALPR error sources.
摘要翻译： 用于增强利用多个结果的自动车牌识别系统的性能的方法，系统和处理器可读介质。 当车辆通过观察区域时，可以捕获多个图像，并且可以利用ALPR单元处理每个图像以获得平板码结果和相关的置信度值。 可以执行跨越OCR代码的字符级信息的迭代处理，随后基于学习的上下文信息进行更高级别的错误检查。 可以采用字符串相关方法来最佳地对齐来自多个图像的OCR码，尽管噪声因子。 然后可以利用OCR置信度和状态掩码信息来考虑ALPR误差源来选择输出板码的字符。
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公开(公告)号：US08644561B2
公开(公告)日：2014-02-04
申请号：US13352554
申请日：2012-01-18
IPC分类号： G06K9/00
CPC分类号： G06K9/6279 , G06K2209/01 , G06K2209/15
摘要： A method and system for recognizing a license plate character utilizing a machine learning classifier. A license plate image with respect to a vehicle can be captured by an image capturing unit and the license plate image can be segmented into license plate character images. The character image can be preprocessed to remove a local background variation in the image and to define a local feature utilizing a quantization transformation. A classification margin for each character image can be identified utilizing a set of machine learning classifiers each binary in nature, for the character image. Each binary classifier can be trained utilizing a character sample as a positive class and all other characters as well as non-character images as a negative class. The character type associated with the classifier with a largest classification margin can be determined and the OCR result can be declared.
摘要翻译： 一种使用机器学习分类器识别车牌字符的方法和系统。 可以通过图像捕获单元捕获关于车辆的车牌图像，并且可以将车牌图像分割成车牌字符图像。 字符图像可以被预处理以去除图像中的局部背景变化并且使用量化变换来定义局部特征。 可以使用一组机器学习分类器来识别每个字符图像的分类容限，每个二进制的机器学习分类器用于字符图像。 可以使用字符样本作为正类和所有其他字符以及非字符图像作为负类来训练每个二进制分类器。 可以确定与具有最大分类边距的分类器相关联的字符类型，并且可以声明OCR结果。
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7.发明申请METHODS AND SYSTEMS FOR OPTIMIZED PARAMETER SELECTION IN AUTOMATED LICENSE PLATE RECOGNITION 有权自动许可证认证中优化参数选择的方法与系统公开(公告)号：US20130294653A1
公开(公告)日：2013-11-07
申请号：US13466068
申请日：2012-05-07
IPC分类号： G06K9/62
CPC分类号： G06K9/3258 , G06K2209/15
摘要： A system and method for automatically recognizing license plate information, the method comprising receiving an image of a license plate, and generating a plurality of image processing data sets, wherein each image processing data set of the plurality of image processing data sets is associated with a score of a plurality of scores by a scoring process comprising determining one or more image processing parameters, generating the image processing data set by processing the image using the one or more image processing parameters, generating the score based on the image processing data, and associating the image processing data set with the score.
摘要翻译： 一种用于自动识别车牌信息的系统和方法，所述方法包括：接收车牌的图像，以及生成多个图像处理数据集，其中所述多个图像处理数据集中的每个图像处理数据集与 通过评分处理得出多个分数，包括确定一个或多个图像处理参数，通过使用一个或多个图像处理参数处理图像来生成图像处理数据集，基于图像处理数据生成分数，以及关联 图像处理数据与分数集合。
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8.发明申请METHOD AND SYSTEM FOR ROBUST TILT ADJUSTMENT AND CROPPING OF LICENSE PLATE IMAGES 审中-公开用于稳定倾斜调整的方法和系统和许可证板图像的合并公开(公告)号：US20130279758A1
公开(公告)日：2013-10-24
申请号：US13453144
申请日：2012-04-23
CPC分类号： G06K9/3258 , G06K9/3275 , G06K9/342 , G06K2209/01
摘要： Methods, systems and processor-readable media for robust tilt adjustment and cropping of a license plate image. A vehicle image can be captured by an image-capturing unit and converted to a binary image utilizing a binarization approach. A long run within the binary image can then be removed and a morphological filtering can be applied to break an unwanted connection between characters due to a license plate frame and an image noise. A connected component (CC) within the image can be identified and screened based on a number of key metrics to remove a most likely candidate character connected component. A line-fit based iterative search process can then be performed for robust tilt removal and vertical cropping of the license plate image to obtain a tight bounding box on the license plate characters if sufficient candidate characters remain after the search process. Otherwise, the region of interest can be rejected.
摘要翻译： 方法，系统和处理器可读介质，用于强大的倾斜调整和车牌图像的裁剪。 车辆图像可以由图像捕获单元捕获并且使用二值化方法被转换成二值图像。 然后可以去除二进制图像中的长时间，并且可以应用形态滤波来打破由于牌照框架和图像噪声引起的字符之间的不期望的连接。 可以基于多个关键指标来识别和屏蔽图像内的连接分量（CC），以消除最可能的候选字符连接分量。 然后可以执行基于线拟合的迭代搜索过程，用于强制倾斜移除和车牌图像的垂直裁剪，以便在搜索过程之后剩余足够的候选人物时，在车牌字符上获得紧密的边界框。 否则，可以拒绝感兴趣的区域。
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公开(公告)号：US20120106781A1
公开(公告)日：2012-05-03
申请号：US12916749
申请日：2010-11-01
IPC分类号： G06K9/00
CPC分类号： H04N7/18 , G06Q10/087 , G06Q30/06
摘要： A system and method for providing signature-based drive-through order tracking. An image with respect to a vehicle at a POS unit can be captured at an order point and a delivery point (e.g., a payment point and a pick-up point) utilizing an image capturing unit by detecting the presence of the vehicle at each point utilizing a vehicle presence sensor. The captured image can be processed in order to extract a small region of interest and can be reduced to a unique signature. The extracted signature of the vehicle at the order point can be stored into a database together with the corresponding order and the vehicle image. The signature extracted at the delivery point can be matched with the signature stored in the database. If a match is found, the order associated with the vehicle together with the images captured at the delivery point and the order point can be displayed in a user interface at the delivery point to ensure that the right order is delivered to a customer.
摘要翻译： 一种用于提供基于签名的驱动订单跟踪的系统和方法。 在POS单元处的车辆的图像可以通过在每个点检测车辆的存在而在使用图像捕获单元的订单点和递送点（例如，支付点和接收点）处被捕获 利用车辆存在传感器。 捕获的图像可以被处理以便提取一个小的感兴趣的区域并且可以被减少到唯一的签名。 车辆在订单点的提取签名可以与相应的订单和车辆图像一起存储到数据库中。 在交付点提取的签名可以与存储在数据库中的签名相匹配。 如果找到匹配，则可以在交付点的用户界面中显示与车辆相关联的订单以及在交货点和订单点捕获的图像，以确保向客户传送正确的订单。
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公开(公告)号：US20130272579A1
公开(公告)日：2013-10-17
申请号：US13448976
申请日：2012-04-17
CPC分类号： G06K9/3258 , G06K2209/15
摘要： A method, system, and computer-usable tangible storage device for robustly cropping and accurately recognizing license plates to account for noise sources and interfering artifacts are disclosed. License plate images and sub-images can be tightly cropped utilizing an image-based classifier and gradient-based cropping. An image-based classifier can identify the location of valid characters within the image. Because of a number of noise sources, such as, for example, residual plate rotation and shear in the characters within the image, the image-based classifier performs a “rough” identification of the image boundaries. An additional processing step utilizing gradient-based cropping is performed to fine-tune the license plate image boundaries. Gradient-based cropping eliminates unwanted border artifacts that could substantially impact the segmentation and license plate character recognition results.
摘要翻译： 公开了一种方法，系统和计算机可用的有形存储设备，用于强力裁剪和准确识别牌照以考虑噪声源和干扰伪像。 可以使用基于图像的分类器和基于梯度的裁剪来严格裁剪牌照图像和子图像。 基于图像的分类器可以识别图像中有效字符的位置。 由于许多噪声源，例如图像中的字符中的残余板旋转和剪切，基于图像的分类器对图像边界执行“粗略”识别。 执行利用基于梯度的裁剪的附加处理步骤来微调车牌图像边界。 基于梯度的裁剪消除了不必要的边界伪影，可能会对分割和车牌字符识别结果产生重大影响。
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