Detection of image quality defects in gloss
    2.
    发明授权
    Detection of image quality defects in gloss 有权
    检测光泽中的图像质量缺陷

    公开(公告)号:US08891135B2

    公开(公告)日:2014-11-18

    申请号:US13234937

    申请日:2011-09-16

    摘要: A method for detecting gloss non-uniformities on printed documents is provided. The method includes printing a test pattern using a print engine, the test pattern having gloss; directing one or more light beams, using an illuminator, onto the test pattern to produce at least generally specular reflectance; scanning the test pattern, using a linear array sensor, to obtain image data, the image data corresponding to the generally specular reflectance from the test pattern; and enhancing contrast of the image data to facilitate detection of image quality non-uniformities in the gloss in the test pattern.

    摘要翻译: 提供了一种用于检测印刷文件上的光泽不均匀性的方法。 该方法包括使用打印引擎打印测试图案,该测试图案具有光泽度; 将一个或多个光束使用照明器引导到测试图案上以产生至少大体上镜面反射率; 使用线性阵列传感器扫描测试图案,以获得图像数据,对应于来自测试图案的通常镜面反射率的图像数据; 并且增强图像数据的对比度以便于检测图像质量在测试图案中光泽度上的不均匀性。

    Image on Paper Registration Using Transfer Surface Marks
    4.
    发明申请
    Image on Paper Registration Using Transfer Surface Marks 有权
    使用转印表面标记的纸张注册上的图像

    公开(公告)号:US20110304886A1

    公开(公告)日:2011-12-15

    申请号:US12813645

    申请日:2010-06-11

    IPC分类号: G06K15/00

    摘要: A method of adjusting the registration of an image printed on sheets. The method including determining a first image location relative to a first sheet, adjusting a second image to be printed based on the determined first image location and printing the adjusted second image to subsequent sheet(s). The first image location determination made by measuring at least one dimension of a fiducial mark disposed directly on a transfer surface. The fiducial mark formed by the engagement of the first sheet with the transfer surface, whereby an inner edge of the fiducial mark forms at least a partial outline of a periphery of the first sheet. Each measured fiducial mark dimension extending from the fiducial mark inner edge to an outer edge of the fiducial mark. The fiducial mark outer edge being disposed remote from the at least partial outline of the first sheet periphery.

    摘要翻译: 调整印刷在纸张上的图像的配准的方法。 该方法包括:确定相对于第一片材的第一图像位置,基于所确定的第一图像位置调整要打印的第二图像,并将经调整的第二图像打印到随后的片材。 通过测量直接设置在转印表面上的基准标记的至少一个维度来进行第一图像位置确定。 通过第一片与转印面的接合形成的基准标记,由此基准标记的内边缘至少形成第一片的周边的局部轮廓。 每个测量的基准标记尺寸从基准标记内边缘延伸到基准标记的外边缘。 基准标记外边缘远离第一片周边的至少局部轮廓设置。

    SYSTEM AND METHOD FOR SENSOR PHASING USING A SUBSTRATE EDGE SIGNAL
    5.
    发明申请
    SYSTEM AND METHOD FOR SENSOR PHASING USING A SUBSTRATE EDGE SIGNAL 有权
    使用基板边缘信号的传感器相位的系统和方法

    公开(公告)号:US20090326863A1

    公开(公告)日:2009-12-31

    申请号:US12145847

    申请日:2008-06-25

    IPC分类号: G06F15/00 G06F17/18

    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。

    License plate character segmentation using likelihood maximization
    6.
    发明授权
    License plate character segmentation using likelihood maximization 有权
    车牌字符分割使用似然最大化

    公开(公告)号:US09014432B2

    公开(公告)日:2015-04-21

    申请号:US13464357

    申请日:2012-05-04

    IPC分类号: G06K9/00 G06K9/32

    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。

    Methods and systems for enhancing the performance of automated license plate recognition applications utilizing multiple results
    7.
    发明授权
    Methods and systems for enhancing the performance of automated license plate recognition applications utilizing multiple results 有权
    利用多个结果提高自动车牌识别应用性能的方法和系统

    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。

    License plate optical character recognition method and system
    8.
    发明授权
    License plate optical character recognition method and system 有权
    车牌光学字符识别方法及系统

    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

    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。

    METHODS AND SYSTEMS FOR OPTIMIZED PARAMETER SELECTION IN AUTOMATED LICENSE PLATE RECOGNITION
    9.
    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。

    METHOD AND SYSTEM FOR ROBUST TILT ADJUSTMENT AND CROPPING OF LICENSE PLATE IMAGES
    10.
    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

    IPC分类号: G06K9/46 G06K9/00

    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。