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    • 12. 发明申请
    • Image Quality Monitoring And Tagging At Scan Time
    • 扫描时刻的图像质量监控和标记
    • US20080285092A1
    • 2008-11-20
    • US11750191
    • 2007-05-17
    • Donald B. Curtis
    • Donald B. Curtis
    • H04N1/04
    • H04N1/32101H04N2201/0081H04N2201/3212H04N2201/3222H04N2201/3225H04N2201/3242H04N2201/3243H04N2201/3274
    • A method of processing a plurality of source documents into scanned images of the source documents includes evaluating the plurality of source documents to thereby assign one or more source document quality metrics indicative of source document image quality. The plurality of source documents are comprised by a project and the source documents of the project are from a common source document type. The source document types include, for example, book pages, paper documents, microfilm documents, machine-printed documents, handwritten documents, print media documents, public records, microfiche documents, and/or the like. The method also includes scanning each of the plurality of source documents to thereby create one or more electronic image files comprising the scanned images and coupling the source document quality metrics to the electronic image files such that the source document quality metrics are thereafter accessible for post-production activities.
    • 将多个源文档处理成源文档的扫描图像的方法包括评估多个源文档,从而分配指示源文档图像质量的一个或多个源文档质量度量。 多个源文档由项目组成,项目的源文档来自普通的源文档类型。 源文档类型包括例如书页,纸质文档,缩微胶卷文档,机器打印文档,手写文档,打印媒体文档,公开记录,缩微胶片文档等。 该方法还包括扫描多个源文档中的每一个,从而创建包括扫描图像的一个或多个电子图像文件,并将源文档质量度量耦合到电子图像文件,使得源文档质量度量之后可访问, 生产活动。
    • 14. 发明授权
    • Image watermarking systems and methods
    • 图像水印系统和方法
    • US07756289B2
    • 2010-07-13
    • US11388231
    • 2006-03-22
    • Donald B. Curtis
    • Donald B. Curtis
    • G06K9/00G06K9/46
    • H04N1/32251H04N1/32229H04N1/32309
    • A method of determining a location for a watermark on an image having an array of pixels, each pixel having image information associated therewith includes determining a size for the watermark. The size has a pixel height and a pixel width. The method also includes calculating a region brightness value for each of a plurality of regions of the image. Each of the plurality of regions has a pixel height and a pixel width equal to the pixel height and the pixel width of the watermark. Each of the plurality of regions includes a plurality of pixels and the brightness value is representative of the image information associated with the plurality of pixels comprised by the region. The method also includes selecting one of the plurality of regions as the location for the watermark. The selection is based, at least in part, on the brightness value for the region.
    • 一种确定具有像素阵列的图像上的水印的位置的方法,每个具有与其相关联的图像信息的像素包括确定水印的大小。 大小具有像素高度和像素宽度。 该方法还包括计算图像的多个区域中的每一个的区域亮度值。 多个区域中的每一个具有与像素高度和水印的像素宽度相等的像素高度和像素宽度。 多个区域中的每一个包括多个像素,并且亮度值表示与由该区域包括的多个像素相关联的图像信息。 该方法还包括选择多个区域中的一个作为水印的位置。 该选择至少部分地基于该区域的亮度值。
    • 15. 发明授权
    • Multiple image input for optical character recognition processing systems and methods
    • 用于光学字符识别处理系统和方法的多图像输入
    • US07734092B2
    • 2010-06-08
    • US11560026
    • 2006-11-15
    • Donald B. CurtisShawn Reid
    • Donald B. CurtisShawn Reid
    • G06K9/18G06K9/34G06K9/20H04N1/40
    • G06K9/6292
    • A method of processing an image includes receiving a digital version of the image, processing the digital version of the image through at least two binarization processes to thereby create a first binarization and a second binarization, and processing the first binarization through a first optical character recognition process to thereby create a first OCR output file. Processing the first binarization through a first optical character recognition process includes compiling first metrics associated with the first OCR output file. The method also includes processing the second binarization through the first optical character recognition process to thereby create a second OCR output file. Processing the second binarization through the first optical character recognition process includes compiling second metrics associated with the second OCR output file. The method also includes using the metrics, at least in part, to select a final OCR output file from among the OCR output files.
    • 一种处理图像的方法包括接收图像的数字版本,通过至少两个二值化处理来处理图像的数字版本,从而创建第一二值化和第二二值化,并且通过第一光学字符识别来处理第一二值化 从而创建第一个OCR输出文件。 通过第一光学字符识别处理来处理第一二值化包括编译与第一OCR输出文件相关联的第一度量。 该方法还包括通过第一光学字符识别处理处理第二二值化,从而创建第二OCR输出文件。 通过第一光学字符识别处理处理第二二值化包括编译与第二OCR输出文件相关联的第二度量。 该方法还包括使用度量,至少部分地从OCR输出文件中选择最终的OCR输出文件。
    • 17. 发明申请
    • Computer-Assisted Image Cropping For Book Scans
    • 计算机辅助图像裁剪书籍扫描
    • US20090052792A1
    • 2009-02-26
    • US11841268
    • 2007-08-20
    • Donald B. Curtis
    • Donald B. Curtis
    • G06K9/40
    • G06K9/3233
    • Methods and systems for cropping images of book pages are disclosed according to one embodiment of the invention. A method may include identifying reference images and receiving cropping rectangles for the reference images. These cropping rectangles associated with reference images may then be used to generate cropping rectangles for images of book pages between the reference images. The cropping rectangles may be generated based on a linear interpolation of the cropping rectangles associated with the reference images and the number of pages between images. The method may also display one or more images of book pages with the associated one or more cropping rectangles superimposed thereon. A user may then have the opportunity to make adjustments to the position and/or size of the cropping rectangles.
    • 根据本发明的一个实施例公开了用于裁剪书页图像的方法和系统。 方法可以包括识别参考图像并且接收用于参考图像的裁剪矩形。 然后可以使用与参考图像相关联的这些裁剪矩形来生成参考图像之间的书页的图像的裁剪矩形。 可以基于与参考图像相关联的裁剪矩形和图像之间的页数的线性插值来生成裁剪矩形。 该方法还可以显示具有叠加在其上的相关联的一个或多个裁剪矩形的书页的一个或多个图像。 然后,用户可以有机会对裁剪矩形的位置和/或尺寸进行调整。
    • 18. 发明申请
    • MULTIPLE IMAGE INPUT FOR OPTICAL CHARACTER RECOGNITION PROCESSING SYSTEMS AND METHODS
    • 用于光学字符识别处理系统的多图像输入和方法
    • US20070211942A1
    • 2007-09-13
    • US11560026
    • 2006-11-15
    • Donald B. CurtisShawn Reid
    • Donald B. CurtisShawn Reid
    • G06K9/00
    • G06K9/6292
    • A method of processing an image includes receiving a digital version of the image, processing the digital version of the image through at least two binarization processes to thereby create a first binarization and a second binarization, and processing the first binarization through a first optical character recognition process to thereby create a first OCR output file. Processing the first binarization through a first optical character recognition process includes compiling first metrics associated with the first OCR output file. The method also includes processing the second binarization through the first optical character recognition process to thereby create a second OCR output file. Processing the second binarization through the first optical character recognition process includes compiling second metrics associated with the second OCR output file. The method also includes using the metrics, at least in part, to select a final OCR output file from among the OCR output files.
    • 一种处理图像的方法包括接收图像的数字版本,通过至少两个二值化处理处理图像的数字版本,从而创建第一二值化和第二二值化,并通过第一光学字符识别来处理第一二值化 从而创建第一个OCR输出文件。 通过第一光学字符识别处理来处理第一二值化包括编译与第一OCR输出文件相关联的第一度量。 该方法还包括通过第一光学字符识别处理处理第二二值化,从而创建第二OCR输出文件。 通过第一光学字符识别处理处理第二二值化包括编译与第二OCR输出文件相关联的第二度量。 该方法还包括使用度量,至少部分地从OCR输出文件中选择最终的OCR输出文件。
    • 20. 发明授权
    • Image quality monitoring and tagging at scan time
    • 扫描时刻的图像质量监控和标记
    • US08446652B2
    • 2013-05-21
    • US11750191
    • 2007-05-17
    • Donald B. Curtis
    • Donald B. Curtis
    • H04N1/46
    • H04N1/32101H04N2201/0081H04N2201/3212H04N2201/3222H04N2201/3225H04N2201/3242H04N2201/3243H04N2201/3274
    • A method of processing a plurality of source documents into scanned images of the source documents includes evaluating the plurality of source documents to thereby assign one or more source document quality metrics indicative of source document image quality. The plurality of source documents are comprised by a project and the source documents of the project are from a common source document type. The source document types include, for example, book pages, paper documents, microfilm documents, machine-printed documents, handwritten documents, print media documents, public records, microfiche documents, and/or the like. The method also includes scanning each of the plurality of source documents to thereby create one or more electronic image files comprising the scanned images and coupling the source document quality metrics to the electronic image files such that the source document quality metrics are thereafter accessible for post-production activities.
    • 将多个源文档处理成源文档的扫描图像的方法包括评估多个源文档,从而分配指示源文档图像质量的一个或多个源文档质量度量。 多个源文档由项目组成,项目的源文档来自普通的源文档类型。 源文档类型包括例如书页,纸质文档,缩微胶卷文档,机器打印文档,手写文档,打印媒体文档,公开记录,缩微胶片文档等。 该方法还包括扫描多个源文档中的每一个,从而创建包括扫描图像的一个或多个电子图像文件,并将源文档质量度量耦合到电子图像文件,使得源文档质量度量之后可访问, 生产活动。