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    • 1. 发明授权
    • Page orientation detection based on selective character recognition
    • 基于选择性字符识别的页面方位检测
    • US08200043B2
    • 2012-06-12
    • US12113264
    • 2008-05-01
    • Zhigang FanMichael R. CampanelliDennis Venable
    • Zhigang FanMichael R. CampanelliDennis Venable
    • G06K9/20G06K9/32G06K9/36G06K15/00H04N1/40G09G5/00
    • G06K9/3208G06K2209/01
    • A system and method for character recognition with document orientation determination is shown. The method is a detection of simple page orientation based on a limited version of character recognition. The method includes binairizing an input image which has a plurality of alphanumeric characters with a first orientation. The method continues with extracting the connected components and determining a second orientation where the second orientation is based on a 90° turn clockwise or counterclockwise or, in the alternative, no turn from the first orientation. The second orientation will result in a 180° variance from the proper orientation or it will be the proper orientation. The method continues with implementing a limited version of optical character recognition for an analysis of a character and determining if that second orientation is upside down, based at least in part on the analysis. This method generally uses the character “i” for analysis. However, for documents that have a limited number of “i”s, e.g. such as Russian documents or documents with all capital letters, the “T” may also be used.
    • 示出了用于文档取向确定的字符识别的系统和方法。 该方法是基于有限版本的字符识别来检测简单的页面定向。 该方法包括使具有第一取向的多个字母数字字符的输入图像。 该方法继续提取连接的部件并且确定第二方向,其中第二方位是基于顺时针或逆时针方向的90°转弯,或者替代地,不与第一方向相反。 第二个方向将导致与正确方向的180°偏差,否则将是正确的方向。 该方法至少部分地基于分析,继续实施用于角色分析的有限版本的光学字符识别和确定该第二取向是否颠倒。 该方法通常使用字符“i”进行分析。 然而,对于具有有限数量的“i”的文档,例如, 如所有大写字母的俄文文件或文件,也可以使用“T”。
    • 4. 发明申请
    • PAGE ORIENTATION DETECTION BASED ON SELECTIVE CHARACTER RECOGNITION
    • 基于选择性字符识别的页面方向检测
    • US20090274392A1
    • 2009-11-05
    • US12113264
    • 2008-05-01
    • Zhigang FanMichael R. CampanelliDennis Venable
    • Zhigang FanMichael R. CampanelliDennis Venable
    • G06K9/36
    • G06K9/3208G06K2209/01
    • A system and method for character recognition with document orientation determination is shown. The method is a detection of simple page orientation based on a limited version of character recognition. The method includes binairizing an input image which has a plurality of alphanumeric characters with a first orientation. The method continues with extracting the connected components and determining a second orientation where the second orientation is based on a 90° turn clockwise or counterclockwise or, in the alternative, no turn from the first orientation. The second orientation will result in a 180° variance from the proper orientation or it will be the proper orientation. The method continues with implementing a limited version of optical character recognition for an analysis of a character and determining if that second orientation is upside down, based at least in part on the analysis. This method generally uses the character “i” for analysis. However, for documents that have a limited number of “i”s, e.g. such as Russian documents or documents with all capital letters, the “T” may also be used.
    • 示出了用于文档取向确定的字符识别的系统和方法。 该方法是基于有限版本的字符识别来检测简单的页面定向。 该方法包括使具有第一取向的多个字母数字字符的输入图像。 该方法继续提取连接的部件并且确定第二方向,其中第二方位是基于顺时针或逆时针方向的90°转弯,或者替代地,不与第一方向相反。 第二个方向将导致与正确方向的180°偏差,否则将是正确的方向。 该方法至少部分地基于分析,继续实施用于角色分析的有限版本的光学字符识别和确定该第二取向是否颠倒。 该方法通常使用字符“i”进行分析。 然而,对于具有有限数量的“i”的文档,例如, 如俄罗斯文件或所有大写字母的文件,也可以使用“T”。
    • 5. 发明授权
    • Augmenting page orientation direction detection in a digital document processing environment
    • 在数字文档处理环境中增强页面方向检测
    • US08619340B2
    • 2013-12-31
    • US12915249
    • 2010-10-29
    • Zhigang FanMichael R. Campanelli
    • Zhigang FanMichael R. Campanelli
    • H04N1/40
    • G06K9/3208G06K2209/01
    • What is disclosed is a novel system and method for augmenting present methods used for determining the orientation direction automatically being detected of digital pages of a plurality of scanned documents in a digital document processing environment. The present method takes advantage of the observation that pages scanned in data processing centers are often highly correlated. The present method contains five primary steps. 1) Page orientation (i.e., up/down) is detected using a traditional method. 2) Each page is classified as either directional or non-directional. 3) The pages classified as directional are clustered into groups. 4) The direction for each group is determined. 5) The directional group's direction is used to revise the orientation for pages contained in the group. Through the implementation of the teachings hereof, performance, in terms of both speed and accuracy, are very high relative to current methods and detection error rates can be reduced significantly.
    • 所公开的是一种新颖的系统和方法,用于增加用于确定在数字文档处理环境中自动检测到多个扫描文档的数字页面的取向方向的现有方法。 本方法利用观察结果,数据处理中心扫描的页面通常是高度相关的。 本方法包含五个主要步骤。 1)使用传统方法检测页面方向(即,上/下)。 2)每个页面被分类为定向或非定向。 3)分类为定向的页面被分组。 4)确定每组的方向。 5)定向组的方向用于修改组中包含的页面的方向。 通过实施本文的教导,相对于当前的方法,速度和精度方面的性能都非常高,检测错误率可以显着降低。
    • 6. 发明授权
    • Reducing smear and slow response artifacts in vector error diffusion
    • US09848105B1
    • 2017-12-19
    • US09080700
    • 1998-05-18
    • Zhigang Fan
    • Zhigang Fan
    • H04N1/405H04N1/60G06K15/02
    • H04N1/4052G06K15/1881H04N1/52H04N1/6027
    • A method of color image processing for quantizing output includes obtaining an input for an object pixel which is represented by a vector in a first color space. A modified input equal to the input plus a sum of errors from other pixels in a neighborhood of the object pixel is generated. For each color component in the first color space, where corresponding color components of the modified input are located with respect to a preset range is determined. If the modified input's color component is greater than the preset range, then that color component for an output is determined to be on; if less than the preset range, then that color component for the output is determine to be off; and, if within the preset range, then that color component for the output is determined to be unknown. A transformed modified input is mapped to a perceptual color space when any color component of the output is unknown. Colors consistent with color components of the output that have already been determined are also mapped to the perceptual color space. The color in the perceptual color space that lies closest to the transformed modified input is chosen. An output in the first color space having color components on and off is generated consistent with the determinations and/or choices made. Error for the object pixel is then calculated as the difference between the output and the modified input.
    • 7. 发明申请
    • IMAGE CAPTURE BY SCENE CLASSIFICATION
    • 通过场景分类的图像捕获
    • US20160286114A1
    • 2016-09-29
    • US15081281
    • 2016-03-25
    • Zhigang Fan
    • Zhigang Fan
    • H04N5/235H04N5/232G02B7/28G06T5/00G06T5/20G06K9/46G06K9/62G06T7/00
    • H04N5/2352G02B7/285G06K9/4661G06K9/6267H04N5/23212
    • A method, a device and a computer readable for automatically identifying a Christmas tree scene and setting a camera's focus and/or exposure parameters in a way that yields images with high image quality. The Christmas tree scene identification can be performed by segmenting the image into bright and dark regions, identifying the light objects, collecting the statistics of the light objects, and classifying the scene based on the statistics of the light objects, or by collecting the pixel value statistics for the image, and classifying the scene based on the statistics of the pixel values, or by collecting the pixel value statistics for the image, filtering the image, collecting the pixel value statistics for the filtered image, and classifying the scene by comparing the statistics of the pixel values before and after filtering. The focus and exposure settings can be adjusted based on the Christmas tree scene identification results. For Christmas tree scenes, the exposure can be set based on a value that is adjusted upwards from the mean luminance of the image, or on a value that is calculated from the top luminance value. The focus can be set by identifying the lights in the image, and minimizing the light size in the image.
    • 用于自动识别圣诞树场景并以产生具有高图像质量的图像的方式设置相机的焦点和/或曝光参数的方法,设备和计算机。 可以通过将图像分割成明暗区域,识别光对象,收集光对象的统计数据和基于光对象的统计信息对场景进行分类,或者通过收集像素值来执行圣诞树场景识别 统计图像,并根据像素值的统计信息对场景进行分类,或者通过收集图像的像素值统计信息,过滤图像,收集滤波图像的像素值统计数据,并对场景进行分类比较 过滤前后像素值的统计。 焦点和曝光设置可以根据圣诞树场景识别结果进行调整。 对于圣诞树场景,可以基于从图像的平均亮度向上调整的值或从顶部亮度值计算的值来设置曝光。 可以通过识别图像中的光,并最小化图像中的光线大小来设置焦点。
    • 9. 发明授权
    • Smartphone augmented video-based on-street parking management system
    • 智能手机增强了基于视频的路边停车管理系统
    • US09367966B2
    • 2016-06-14
    • US13461161
    • 2012-05-01
    • Zhigang FanYao Rong Wang
    • Zhigang FanYao Rong Wang
    • G07B15/02G06K9/00H04N7/18
    • G07B15/02G06K9/00785H04N7/181
    • A method and a system for automating parking payment includes receiving video data in a sequence of frames provided by a video capture device observing a parking area. The method includes detecting a vehicle in the parking area using the video data. The method further includes receiving information of a vehicle in the parking area provided by a user device. The method includes comparing the characteristics of the detected vehicle with the information from the user device. In response to the characteristics of the detected vehicle being a match to the information sent from the user device, the method includes tracking the detected vehicle across the sequence of frames. The method includes computing a duration that the detected vehicle remains stationary using the tracking. The method includes computing an amount for charging the associated user device based on the duration.
    • 一种用于自动化停车支付的方法和系统包括以观看停车区域的视频捕获设备提供的帧序列接收视频数据。 该方法包括使用视频数据来检测停车区域中的车辆。 该方法还包括在由用户设备提供的停车区域中接收车辆的信息。 该方法包括将检测到的车辆的特征与来自用户设备的信息进行比较。 响应于检测到的车辆的特征与从用户设备发送的信息的匹配,该方法包括在帧序列之间跟踪检测到的车辆。 该方法包括使用跟踪来计算检测到的车辆保持静止的持续时间。 该方法包括基于持续时间计算用于对相关联的用户设备计费的量。