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    • 2. 发明授权
    • Document registration
    • 文件注册
    • US08965134B2
    • 2015-02-24
    • US14110130
    • 2011-04-05
    • Suryaprakash KompalliVenkata Gopal EdupugantiVinayak Agarwal
    • Suryaprakash KompalliVenkata Gopal EdupugantiVinayak Agarwal
    • G06K9/74G06K9/00G06K9/62
    • G06K9/00456G06K9/00483G06K9/6211
    • A method of registering a document comprises, with a processor (150), defining (block 505) a plurality of clusters in an image of a template document (300) by assigning each of a number of feature points of an image of a template document to a cluster with the closest mean, with the processor (150), refining (block 510) a correspondence set of the feature points between the image of the template document (300) and the image of the target document (400) using a histogram of Euclidian distances, and with the processor (150), eliminating (block 515) outliers within a correspondence set of the feature points between the image of the template document (300) and an image of a target document (400) by generating a hypothesis and evaluating the hypothesis a number of iterations, in which the image of the target document (400) is captured by an imaging device (110) from a physical document.
    • 一种注册文档的方法包括通过分配模板文档的图像的多个特征点中的每一个来定义(框505)模板文档(300)的图像中的多个聚类的处理器(150) 使用处理器(150),使用直方图来精简(框510)模板文档(300)的图像与目标文档(400)的图像之间的特征点的对应集合 以及处理器(150),通过生成假设来消除模板文档(300)的图像与目标文档(400)的图像之间的特征点的对应集合内的异常值(框515) 以及评估所述假设,其中所述目标文档(400)的图像由物理文档由成像设备(110)捕获的迭代次数。
    • 8. 发明授权
    • Searching document images
    • 搜索文档图像
    • US08340429B2
    • 2012-12-25
    • US12953460
    • 2010-11-24
    • Suryaprakash KompalliAshwin Gopakumar
    • Suryaprakash KompalliAshwin Gopakumar
    • G06K9/00G06K9/54
    • G06K9/00852
    • Disclosed is a method of searching a digital image of a document for a predetermined keyword. The method identifies a word in the digital image, the word comprising one or more shapes. A test matrix comprising a difference vector for each character of the word is generated, and a template matrix comprising a difference vector for each shape of the keyword is also generated, wherein a difference vector represents the differences between the visual features of a respective shape and the visual features of a collection of reference shapes. A measure of similarity between the word and the keyword is generated by comparing the test matrix and the template matrix.
    • 公开了一种在预定关键字上搜索文档的数字图像的方法。 该方法识别数字图像中的单词,该单词包括一个或多个形状。 生成包含该单词的每个字符的差分向量的测试矩阵,并且还生成包括关键字的每个形状的差向量的模板矩阵,其中差矢量表示各形状的视觉特征与 参考形状集合的视觉特征。 通过比较测试矩阵和模板矩阵来生成单词和关键字之间的相似度度量。
    • 10. 发明申请
    • Document Registration
    • 文件注册
    • US20140029857A1
    • 2014-01-30
    • US14110130
    • 2011-04-05
    • Suryaprakash KompalliVenkata Gopal EdupugantiVinayak Agarwal
    • Suryaprakash KompalliVenkata Gopal EdupugantiVinayak Agarwal
    • G06K9/00
    • G06K9/00456G06K9/00483G06K9/6211
    • A method of registering a document comprises, with a processor (150), defining (block 505) a plurality of clusters in an image of a template document (300) by assigning each of a number of feature points of an image of a template document to a cluster with the closest mean, with the processor (150), refining (block 510) a correspondence set of the feature points between the image of the template document (300) and the image of the target document (400) using a histogram of Euclidian distances, and with the processor (150), eliminating (block 515) outliers within a correspondence set of the feature points between the image of the template document (300) and an image of a target document (400) by generating a hypothesis and evaluating the hypothesis a number of iterations, in which the image of the target document (400) is captured by an imaging device (110) from a physical document.
    • 一种注册文档的方法包括通过分配模板文档的图像的多个特征点中的每一个来定义(框505)模板文档(300)的图像中的多个聚类的处理器(150) 使用处理器(150),使用直方图来精简(框510)模板文档(300)的图像与目标文档(400)的图像之间的特征点的对应集合 以及处理器(150),通过生成假设来消除模板文档(300)的图像与目标文档(400)的图像之间的特征点的对应集合内的异常值(框515) 以及评估所述假设,其中所述目标文档(400)的图像由物理文档由成像设备(110)捕获的迭代次数。