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1. 发明申请

US20130050764A1 METHOD AND APPARATUS FOR AUTHENTICATING PRINTED DOCUMENTS THAT CONTAINS BOTH DARK AND HALFTONE TEXT 有权
标题翻译：用于认证打印文件的方法和装置，其中包含两个黑色和哈尔滨语文本
公开(公告)号：US20130050764A1
公开(公告)日：2013-02-28
申请号：US13223298
申请日：2011-08-31
申请人： Xiaonong Zhan , Wei MING , Songyang YU
发明人： Xiaonong Zhan , Wei MING , Songyang YU
IPC分类号： H04N1/40 , G06K9/34
CPC分类号： H04N1/403 , H04N1/32101 , H04N1/4446 , H04N2201/3226 , H04N2201/3235 , H04N2201/3269 , H04N2201/3271
摘要： A document authentication method determines the authenticity of a target hardcopy document, which purports to be a true copy of an original hardcopy document. The method compares a binarized image of the target document with a binarized image of the original document which has been stored in a storage device. The image of the original document is generated by binarizing a scanned grayscale image of the original document. Halftone and non-halftone text areas in the grayscale image area separated, and the two types of text are separately binarized. The non-halftone text areas are then down-sampled. During authenticating, a scanned grayscale image of the target document is binarized by separating halftone and non-halftone text areas and binarizing them separately, and then down-sampling the non-halftone text areas. The binarized images of the target document and the original document are compared to determine the authenticity of the target document.
摘要翻译：文档认证方法确定目标硬拷贝文档的真实性，其目的在于是原始硬拷贝文档的真实副本。该方法将目标文档的二值化图像与存储在存储装置中的原始文档的二值化图像进行比较。原始文档的图像是通过对原始文档的扫描灰度图像进行二值化生成的。灰度图像区域中的半色调和非半色调文本区域分开，两种类型的文本被分开二进制化。非半色调文本区域然后被下采样。在认证过程中，目标文档的扫描灰度图像通过分离半色调和非半色调文本区域进行二进制化，并将它们分开二值化，然后对非半色调文本区域进行下采样。比较目标文档和原始文档的二值化图像，以确定目标文档的真实性。

2. 发明授权

US08218879B2 System and method for shutter detection 有权
标题翻译：快门检测系统及方法
公开(公告)号：US08218879B2
公开(公告)日：2012-07-10
申请号：US11857546
申请日：2007-09-19
申请人： Songyang Yu , Vittorio Accomazzi , Paul Geiger
发明人： Songyang Yu , Vittorio Accomazzi , Paul Geiger
IPC分类号： G06K9/48
CPC分类号： G06T5/005 , A61B6/5252 , G06T7/12 , G06T7/194 , G06T2207/10116 , G06T2207/20016 , G06T2207/30004
摘要： A method for removing shutter areas in an image, in particular an x-ray image is provided. Edges are examined in a multi-resolution image pyramid and evaluated to determine potential shutter blade candidates defining the shutter areas. Heuristic rules and/or an automatic classifier such as a Neuronal Network, are applied to distinguish true shutter blades from false positives. The rule set and the classifier are based on a set of features extracted from the potential shutter blade candidates as well as predetermined knowledge of the expected placement of the shutter, human anatomy. Up to four shutter blades are expected to be detected and based on these blades, the bright areas in the image that occur due to the shutters are removed.
摘要翻译：提供了用于去除图像中的快门区域的方法，特别是X射线图像。在多分辨率图像金字塔中检查边缘并进行评估以确定限定快门区域的潜在快门叶片候选。应用启发式规则和/或自动分类器（如神经元网络）来区分真正的快门叶片与假阳性。规则集和分类器基于从潜在的快门叶片候选中提取的一组特征以及对快门，人体解剖学的预期放置的预定知识。预计最多可以检测到四个快门叶片，并且基于这些刀片，由于百叶窗而发生的图像中的明亮区域被去除。

3. 发明授权

US08331670B2 Method of detection document alteration by comparing characters using shape features of characters 有权
标题翻译：通过使用字符的形状特征比较字符来检测文档的方法
公开(公告)号：US08331670B2
公开(公告)日：2012-12-11
申请号：US13053618
申请日：2011-03-22
申请人： Songyang Yu , Wei Ming
发明人： Songyang Yu , Wei Ming
IPC分类号： G06K9/34
CPC分类号： G06T7/001 , G06K9/03 , G06K9/3241 , G06K9/34 , G06K9/6215 , G06K2209/01 , G06T2207/30176
摘要： A document alteration detection method compares a target image with an original image by comparing character shape features without actually recognizing the characters. Bounding boxes for the characters are generated for both images, each enclosing one or more connected groups of pixels of one character. The bounding boxes in the original and target images are matched into pairs. Addition and deletion of text is detected if a bounding box in one image does not have a matching one in the other image. Each pair of bounding boxes is processed to compare their shape features. The shape features include the Euler numbers of the characters, the aspect ratio of the bounding boxes, the pixel density of the bounding boxes, and the Hausdorff distance between the two characters. The two characters are determined to be the same or different based on the shape feature comparisons.
摘要翻译：文档变更检测方法通过比较字符形状特征而不实际识别字符来比较目标图像与原始图像。为两个图像生成字符的边框，每个都包含一个或多个连接的一个字符的像素组。原始和目标图像中的边界框匹配成对。如果一个图像中的边界框在另一个图像中没有匹配的一个，检测到文本的添加和删除。处理每对边界框以比较其形状特征。形状特征包括字母的欧拉数，边界框的宽高比，边界框的像素密度以及两个字符之间的Hausdorff距离。基于形状特征比较，两个字符被确定为相同或不同。

4. 发明申请

US20120275679A1 SYSTEM AND METHOD FOR SHUTTER DETECTION 审中-公开
标题翻译：快速检测系统及方法
公开(公告)号：US20120275679A1
公开(公告)日：2012-11-01
申请号：US13544573
申请日：2012-07-09
申请人： Songyang Yu , Vittorio Accomazzi , Paul Geiger
发明人： Songyang Yu , Vittorio Accomazzi , Paul Geiger
IPC分类号： G06T5/00
CPC分类号： G06T5/005 , A61B6/5252 , G06T7/12 , G06T7/194 , G06T2207/10116 , G06T2207/20016 , G06T2207/30004
摘要： Methods, systems, and computer-readable medium for detecting and removing unwanted information in a medical image. One method includes receiving, at a processor, an image, obtained using a shutter including at least a first blade and a second blade. The method also includes processing the image to identify a first plurality of candidate edges in the image for the first blade and a second plurality of candidate edges in the image for the second blade. The method further includes individually evaluating each of the first and second plurality of candidate edges to select one of the first plurality of candidate edges as a true edge for the first blade and one of the second plurality of candidate edges as a true edge for the second blade. In addition, the method includes removing the unwanted information from the image based on a location of each of the identified true edges.
摘要翻译：用于检测和去除医学图像中的不需要的信息的方法，系统和计算机可读介质。一种方法包括在处理器处接收使用包括至少第一叶片和第二叶片的快门获得的图像。该方法还包括处理图像以识别用于第一叶片的图像中的第一多个候选边缘和用于第二叶片的图像中的第二多个候选边缘。该方法还包括分别评估第一和第二多个候选边缘中的每一个，以选择第一多个候选边缘中的一个作为第一叶片的真实边缘，并且将第二多个候选边缘中的一个作为第二多个候选边缘的真实边缘刀。此外，该方法包括基于每个识别的真实边缘的位置从图像中去除不想要的信息。

5. 发明申请

US20120120453A1 METHOD FOR BINARIZING SCANNED DOCUMENT IMAGES CONTAINING GRAY OR LIGHT COLORED TEXT PRINTED WITH HALFTONE PATTERN 有权
标题翻译：用于将包含灰色或浅色文字的扫描文档图像进行二进制的方法用牛肝图案打印
公开(公告)号：US20120120453A1
公开(公告)日：2012-05-17
申请号：US12946801
申请日：2010-11-15
申请人： Songyang YU , Wei MING
发明人： Songyang YU , Wei MING
IPC分类号： H04N1/405
CPC分类号： H04N1/40062 , H04N1/405
摘要： A method for binarizing a scanned document images containing gray or light colored text printed with halftone patterns. The document image is initially binarized and connected image components are extracted from the initial binary image as text characters. Each text character is classified as either a halftone text character or a non-halftone text character based on an analysis of its topology features. The topology features may be the Euler number of the text character; a text character with a Euler number below −2 is classified as halftone text. The gray-scale document image is then divided into halftone text regions containing only halftone text characters and non-halftone text regions. Each region is binarized using its own pixel value statistics. This eliminates the influence of black text on the threshold values for binarizing halftone text. The binary maps of the regions are combined to generate the final binary map.
摘要翻译：用于将包含灰色或浅色文本的扫描文档图像二进制化的方法，印刷有半色调图案。文档图像最初被二进制化，并且将连接的图像分量从初始二进制图像提取为文本字符。基于其拓扑特征的分析，每个文本字符被分类为半色调文本字符或非半色调文本字符。拓扑特征可以是文本字符的欧拉数; 欧拉数低于-2的文本字符被分类为半色调文本。然后将灰度文档图像分成仅包含半色调文本字符和非半色调文本区域的半色调文本区域。每个区域都使用其自己的像素值统计信息进行二值化。这消除了黑色文本对二值化半色调文本的阈值的影响。组合这些区域的二进制图以生成最终的二进制图。

6. 发明授权

US08947736B2 Method for binarizing scanned document images containing gray or light colored text printed with halftone pattern 有权
标题翻译：用于将扫描的文档图像二进制化的方法，其中包含以半色调图案打印的灰色或浅色文本
公开(公告)号：US08947736B2
公开(公告)日：2015-02-03
申请号：US12946801
申请日：2010-11-15
申请人： Songyang Yu , Wei Ming
发明人： Songyang Yu , Wei Ming
IPC分类号： G06K15/02 , H04N1/405 , H04N1/407 , H04N1/409 , H04N1/00 , H04N1/04 , G06K9/34 , H04N1/40
CPC分类号： H04N1/40062 , H04N1/405
摘要： A method for binarizing a scanned document images containing gray or light colored text printed with halftone patterns. The document image is initially binarized and connected image components are extracted from the initial binary image as text characters. Each text character is classified as either a halftone text character or a non-halftone text character based on an analysis of its topology features. The topology features may be the Euler number of the text character; a text character with a Euler number below −2 is classified as halftone text. The gray-scale document image is then divided into halftone text regions containing only halftone text characters and non-halftone text regions. Each region is binarized using its own pixel value statistics. This eliminates the influence of black text on the threshold values for binarizing halftone text. The binary maps of the regions are combined to generate the final binary map.
摘要翻译：用于将包含灰色或浅色文本的扫描文档图像二进制化的方法，印刷有半色调图案。文档图像最初被二进制化，并且将连接的图像分量从初始二进制图像提取为文本字符。基于其拓扑特征的分析，每个文本字符被分类为半色调文本字符或非半色调文本字符。拓扑特征可以是文本字符的欧拉数; 欧拉数低于-2的文本字符被分类为半色调文本。然后将灰度文档图像分成仅包含半色调文本字符和非半色调文本区域的半色调文本区域。每个区域都使用其自己的像素值统计信息进行二值化。这消除了黑色文本对二值化半色调文本的阈值的影响。组合这些区域的二进制图以生成最终的二进制图。

7. 发明申请

US20120243785A1 METHOD OF DETECTION DOCUMENT ALTERATION BY COMPARING CHARACTERS USING SHAPE FEATURES OF CHARACTERS 有权
标题翻译：通过使用形状特征比较字符来检测文档更改的方法
公开(公告)号：US20120243785A1
公开(公告)日：2012-09-27
申请号：US13053618
申请日：2011-03-22
申请人： Songyang YU , Wei MING
发明人： Songyang YU , Wei MING
IPC分类号： G06K9/62 , G06K9/34
CPC分类号： G06T7/001 , G06K9/03 , G06K9/3241 , G06K9/34 , G06K9/6215 , G06K2209/01 , G06T2207/30176
摘要： A document alteration detection method compares a target image with an original image by comparing character shape features without actually recognizing the characters. Bounding boxes for the characters are generated for both images, each enclosing one or more connected groups of pixels of one character. The bounding boxes in the original and target images are matched into pairs. Addition and deletion of text is detected if a bounding box in one image does not have a matching one in the other image. Each pair of bounding boxes is processed to compare their shape features. The shape features include the Euler numbers of the characters, the aspect ratio of the bounding boxes, the pixel density of the bounding boxes, and the Hausdorff distance between the two characters. The two characters are determined to be the same or different based on the shape feature comparisons.
摘要翻译：文档变更检测方法通过比较字符形状特征而不实际识别字符来比较目标图像与原始图像。为两个图像生成字符的边框，每个都包含一个或多个连接的一个字符的像素组。原始和目标图像中的边界框匹配成对。如果一个图像中的边界框在另一个图像中没有匹配的一个，检测到文本的添加和删除。处理每对边界框以比较其形状特征。形状特征包括字母的欧拉数，边界框的宽高比，边界框的像素密度以及两个字符之间的Hausdorff距离。基于形状特征比较，两个字符被确定为相同或不同。

8. 发明授权

US09319556B2 Method and apparatus for authenticating printed documents that contains both dark and halftone text 有权
标题翻译：用于认证包含黑暗和半色调文本的打印文档的方法和装置
公开(公告)号：US09319556B2
公开(公告)日：2016-04-19
申请号：US13223298
申请日：2011-08-31
申请人： Xiaonong Zhan , Wei Ming , Songyang Yu
发明人： Xiaonong Zhan , Wei Ming , Songyang Yu
IPC分类号： G06K15/00 , H04N1/40 , G06K9/34 , G06K9/48 , H04N1/32 , H04N1/403 , H04N1/44
CPC分类号： H04N1/403 , H04N1/32101 , H04N1/4446 , H04N2201/3226 , H04N2201/3235 , H04N2201/3269 , H04N2201/3271
摘要： A document authentication method determines the authenticity of a target hardcopy document, which purports to be a true copy of an original hardcopy document. The method compares a binarized image of the target document with a binarized image of the original document which has been stored in a storage device. The image of the original document is generated by binarizing a scanned grayscale image of the original document. Halftone and non-halftone text areas in the grayscale image area separated, and the two types of text are separately binarized. The non-halftone text areas are then down-sampled. During authenticating, a scanned grayscale image of the target document is binarized by separating halftone and non-halftone text areas and binarizing them separately, and then down-sampling the non-halftone text areas. The binarized images of the target document and the original document are compared to determine the authenticity of the target document.
摘要翻译：文档认证方法确定目标硬拷贝文档的真实性，其目的在于是原始硬拷贝文档的真实副本。该方法将目标文档的二值化图像与存储在存储装置中的原始文档的二值化图像进行比较。原始文档的图像是通过对原始文档的扫描灰度图像进行二值化生成的。灰度图像区域中的半色调和非半色调文本区域分开，两种类型的文本被分开二进制化。非半色调文本区域然后被下采样。在认证过程中，目标文档的扫描灰度图像通过分离半色调和非半色调文本区域进行二进制化，并将它们分开二值化，然后对非半色调文本区域进行下采样。比较目标文档和原始文档的二值化图像，以确定目标文档的真实性。

9. 发明申请

US20130050765A1 METHOD AND APPARATUS FOR DOCUMENT AUTHENTICATION USING IMAGE COMPARISON ON A BLOCK-BY-BLOCK BASIS 审中-公开
标题翻译：使用基于块的基本图像比较的文档认证的方法和装置
公开(公告)号：US20130050765A1
公开(公告)日：2013-02-28
申请号：US13223303
申请日：2011-08-31
申请人： Xiaonong Zhan , Wei MING , Songyang YU
发明人： Xiaonong Zhan , Wei MING , Songyang YU
IPC分类号： H04N1/40 , G06K9/34 , G06K9/68
CPC分类号： H04N1/4446 , G06K9/00463
摘要： A document authentication method using block-by-block image comparison is disclosed. An image of an original document and an image of a target document are each segmented into multiple blocks corresponding to paragraphs of text. A first block in the original image is used to search the target image to find a corresponding first block using a cross-correlation method. The position mapping for the first block of the target image is calculated and alterations are detected. Then, for each subsequent block of the original image, a corresponding block of the target document is identified based on the position of the subsequent block of the original image relative to the first block of the original image and the position mapping for the first block of the target image. The corresponding subsequent blocks of the original and target images are compared to detect alterations using a method other than cross-correlation.
摘要翻译：公开了一种使用逐块图像比较的文档认证方法。原始文档的图像和目标文档的图像被分割成对应于文本段落的多个块。使用原始图像中的第一块来搜索目标图像以使用互相关方法找到对应的第一块。计算目标图像的第一个块的位置映射，并检测变化。然后，对于原始图像的每个后续块，基于原始图像的后续块相对于原始图像的第一块的位置以及第一块的第一块的位置映射来识别目标文档的相应块目标图像。将原始图像和目标图像的相应后续块进行比较，以使用除互相关以外的方法检测变更。

10. 发明申请

US20080069470A1 SYSTEM AND METHOD FOR SHUTTER DETECTION 有权
标题翻译：快速检测系统及方法
公开(公告)号：US20080069470A1
公开(公告)日：2008-03-20
申请号：US11857546
申请日：2007-09-19
申请人： Songyang Yu , Vittorio Accomazzi , Paul Geiger
发明人： Songyang Yu , Vittorio Accomazzi , Paul Geiger
IPC分类号： G06K9/40
CPC分类号： G06T5/005 , A61B6/5252 , G06T7/12 , G06T7/194 , G06T2207/10116 , G06T2207/20016 , G06T2207/30004
摘要： A method for removing shutter areas in an image, in particular an x-ray image is provided. Edges are examined in a multi-resolution image pyramid and evaluated to determine potential shutter blade candidates defining the shutter areas. Heuristic rules and/or an automatic classifier such as a Neuronal Network, are applied to distinguish true shutter blades from false positives. The rule set and the classifier are based on a set of features extracted from the potential shutter blade candidates as well as predetermined knowledge of the expected placement of the shutter, human anatomy. Up to four shutter blades are expected to be detected and based on these blades, the bright areas in the image that occur due to the shutters are removed.
摘要翻译：提供了用于去除图像中的快门区域的方法，特别是X射线图像。在多分辨率图像金字塔中检查边缘并进行评估以确定限定快门区域的潜在快门叶片候选。应用启发式规则和/或自动分类器（如神经元网络）来区分真正的快门叶片与假阳性。规则集和分类器基于从潜在的快门叶片候选中提取的一组特征以及对快门，人体解剖学的预期放置的预定知识。预计最多可以检测到四个快门叶片，并且基于这些刀片，由于百叶窗而发生的图像中的明亮区域被去除。

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