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1. 发明申请

US20220067311A1 Methods and System for Magnetic Image Identification 有权
公开(公告)号：US20220067311A1
公开(公告)日：2022-03-03
申请号：US17464055
申请日：2021-09-01
申请人： Lexmark International, Inc.
发明人： Ahmed Hamad Mohamed Eid , Tomasz Jan Cholewo
IPC分类号： G06K7/08
摘要： Described is an invention that provides methods to identify key features from magnetic image captures of complex magnetic fields of randomly positioned and oriented magnetized particles in an object. The key features are described in a compact form to generate a unique identifier that services as a “fingerprint” of a chip.

2. 发明申请

US20160253573A1 Automatically Capturing and Cropping Image of Check from Video Sequence for Banking or other Computing Application 有权
公开(公告)号：US20160253573A1
公开(公告)日：2016-09-01
申请号：US14633955
申请日：2015-02-27
申请人： Lexmark International, Inc.
发明人： Ahmed Hamad Mohamed Eid , Tomasz Jan Cholewo , Stuart Willard Daneil , Stacy Lee Simpson
IPC分类号： G06K9/62 , G06T3/40 , G06Q20/10 , G06T7/00 , G06Q20/04 , G06T1/00 , G06T3/60
CPC分类号： G06K9/6202 , G06K9/00469 , G06K2209/01 , G06Q20/042 , G06Q20/0425 , G06Q20/108 , G06T3/00 , G06T7/13 , G06T2207/10016 , G06T2207/20132 , G06T2207/30176
摘要： A mobile device with camera automatically captures an image of a check from a video sequence. A computing application assesses quality metrics of a frame of the video and, if acceptable, initiates capture of the check in that frame without user selection. Metrics include an aspect ratio of the check, image quality of the routing transit symbols that delineate a routing transit number on a MICR line of the check, distances between the routing transit symbols and to an edge of the check, recognition of digits of the routing transit number, checksum of the routing transit numbers, and image sharpness. Other embodiments note cropping of the check from the background of the image, properly orienting the check for viewing, and providing color coded visual feedback to users about the quality of the image frame about the check, to name a few.

3. 发明授权

US09652690B2 Automatically capturing and cropping image of check from video sequence for banking or other computing application 有权
公开(公告)号：US09652690B2
公开(公告)日：2017-05-16
申请号：US14633955
申请日：2015-02-27
申请人： LEXMARK INTERNATIONAL, INC.
发明人： Ahmed Hamad Mohamed Eid , Tomasz Jan Cholewo , Stuart Willard Daniel , Stacy Lee Simpson
IPC分类号： G06K9/62 , G06T3/40 , G06Q20/10 , G06T7/00 , G06Q20/04 , G06T1/00 , G06T3/60 , G06T3/00 , G06T7/13
CPC分类号： G06K9/6202 , G06K9/00469 , G06K2209/01 , G06Q20/042 , G06Q20/0425 , G06Q20/108 , G06T3/00 , G06T7/13 , G06T2207/10016 , G06T2207/20132 , G06T2207/30176
摘要： A mobile device with camera automatically captures an image of a check from a video sequence. A computing application assesses quality metrics of a frame of the video and, if acceptable, initiates capture of the check in that frame without user selection. Metrics include an aspect ratio of the check, image quality of the routing transit symbols that delineate a routing transit number on a MICR line of the check, distances between the routing transit symbols and to an edge of the check, recognition of digits of the routing transit number, checksum of the routing transit numbers, and image sharpness. Other embodiments note cropping of the check from the background of the image, properly orienting the check for viewing, and providing color coded visual feedback to users about the quality of the image frame about the check, to name a few.

4. 发明授权

US09008422B2 Methods of content-driven image cropping 有权
标题翻译：内容驱动图像裁剪方法
公开(公告)号：US09008422B2
公开(公告)日：2015-04-14
申请号：US13721778
申请日：2012-12-20
申请人： Lexmark International, Inc.
发明人： Ahmed Hamad Mohamed Eid , Tomasz Jan Cholewo
IPC分类号： G06K9/00 , G06T11/60
CPC分类号： G06T11/60
摘要： A method of cropping an image based on a content of the image according to one example embodiment includes identifying image features in the content of the image, determining horizontal histogram frequencies and vertical histogram frequencies of the identified image features, determining borders of a document bounding box based on the determined horizontal histogram frequencies and vertical histogram frequencies, and cropping the image according to the document bounding box.
摘要翻译：根据一个示例实施例的基于图像的内容来裁剪图像的方法包括识别图像内容中的图像特征，确定识别的图像特征的水平直方图频率和垂直直方图频率，确定文档边界框的边界基于确定的水平直方图频率和垂直直方图频率，并根据文档边界框裁剪图像。

5. 发明授权

US09747509B2 Automatically capturing and cropping image of check from video sequence for banking or other computing application 有权
公开(公告)号：US09747509B2
公开(公告)日：2017-08-29
申请号：US14633992
申请日：2015-02-27
申请人： LEXMARK INTERNATIONAL, INC.
发明人： Ahmed Hamad Mohamed Eid , Tomasz Jan Cholewo , Stuart Willard Daniel , Stacy Lee Simpson
IPC分类号： G06K9/03 , G06K9/18 , G06K9/32 , H04N5/262
CPC分类号： G06K9/036 , G06K9/186 , G06K9/325 , H04N5/2628
摘要： A mobile device with camera automatically captures an image of a check from a video sequence. A computing application assesses quality metrics of a frame of the video and, if acceptable, initiates capture of the check in that frame without user selection. Metrics include an aspect ratio of the check, image quality of the routing transit symbols that delineate a routing transit number on a MICR line of the check, distances between the routing transit symbols and to an edge of the check, recognition of digits of the routing transit number, checksum of the routing transit numbers, and image sharpness. Other embodiments note cropping of the check from the background of the image, properly orienting the check for viewing, and providing color coded visual feedback to users about the quality of the image frame about the check, to name a few.

6. 发明申请

US20160253569A1 Automatically Capturing and Cropping Image of Check from Video Sequence for Banking or other Computing Application 有权
标题翻译：从银行或其他计算应用程序的视频序列中自动捕获和裁剪检查图像
公开(公告)号：US20160253569A1
公开(公告)日：2016-09-01
申请号：US14633992
申请日：2015-02-27
申请人： Lexmark International, Inc.
发明人： Ahmed Hamad Mohamed Eid , Tomasz Jan Cholewo , Stuart Willard Daniel , Stacy Lee Simpson
IPC分类号： G06K9/18 , G06K9/46 , G06K9/62 , H04N5/262
CPC分类号： G06K9/036 , G06K9/186 , G06K9/325 , H04N5/2628
摘要： A mobile device with camera automatically captures an image of a check from a video sequence. A computing application assesses quality metrics of a frame of the video and, if acceptable, initiates capture of the check in that frame without user selection. Metrics include an aspect ratio of the check, image quality of the routing transit symbols that delineate a routing transit number on a MICR line of the check, distances between the routing transit symbols and to an edge of the check, recognition of digits of the routing transit number, checksum of the routing transit numbers, and image sharpness. Other embodiments note cropping of the check from the background of the image, properly orienting the check for viewing, and providing color coded visual feedback to users about the quality of the image frame about the check, to name a few.
摘要翻译：具有相机的移动设备可自动从视频序列中捕获检查的图像。计算应用程序评估视频的帧的质量度量，并且如果可接受的话，在没有用户选择的情况下启动在该帧中的检查的捕获。度量包括检查的宽高比，在检查的MICR线上描绘路由转移号码的路由传输符号的图像质量，路由传输符号之间的距离和检查的边缘，路由的数字的识别过境号码，路由转移号码的校验和和图像清晰度。其他实施例说明从图像的背景裁剪检查，正确地定向检查以供查看，并且向用户提供关于检查的图像帧的质量的颜色编码的视觉反馈，仅举几个例子。

7. 发明授权

US09064316B2 Methods of content-based image identification 有权
标题翻译：基于内容的图像识别方法
公开(公告)号：US09064316B2
公开(公告)日：2015-06-23
申请号：US13721822
申请日：2012-12-20
申请人： Lexmark International, Inc.
发明人： Ahmed Hamad Mohamed Eid , Tomasz Jan Cholewo
IPC分类号： G06K9/00 , G06T7/00 , G06K9/32 , G06K9/46
CPC分类号： G06T7/0079 , G06K9/3283 , G06K9/4647 , G06K2209/01
摘要： A method of identifying one or more image features of an image based on content of the image according to one example embodiment includes receiving an image, correcting a distortion and a tone of the image, segmenting the corrected image and extracting the one or more image features, generating an input image descriptor based on the one or more extracted image features, matching the input image descriptor with a reference image descriptor, and performing an action based on the matched reference image descriptor.
摘要翻译：根据一个示例实施例的基于图像的内容来识别图像的一个或多个图像特征的方法包括接收图像，校正图像的失真和色调，分割校正后的图像并提取一个或多个图像特征基于所述一个或多个提取的图像特征，将所述输入图像描述符与参考图像描述符相匹配来生成输入图像描述符，以及基于所述匹配的参考图像描述符执行动作。

8. 发明申请

US20140003712A1 Methods of Content-Based Image Identification 有权
标题翻译：基于内容的图像识别方法
公开(公告)号：US20140003712A1
公开(公告)日：2014-01-02
申请号：US13721822
申请日：2012-12-20
申请人： LEXMARK INTERNATIONAL, INC.
发明人： Ahmed Hamad Mohamed Eid , Tomasz Jan Cholewo
IPC分类号： G06T7/00
CPC分类号： G06T7/0079 , G06K9/3283 , G06K9/4647 , G06K2209/01
摘要： A method of identifying one or more image features of an image based on content of the image according to one example embodiment includes receiving an image, correcting a distortion and a tone of the image, segmenting the corrected image and extracting the one or more image features, generating an input image descriptor based on the one or more extracted image features, matching the input image descriptor with a reference image descriptor, and performing an action based on the matched reference image descriptor.
摘要翻译：根据一个示例实施例的基于图像的内容来识别图像的一个或多个图像特征的方法包括接收图像，校正图像的失真和色调，分割校正后的图像并提取一个或多个图像特征基于所述一个或多个提取的图像特征，将所述输入图像描述符与参考图像描述符相匹配来生成输入图像描述符，以及基于所述匹配的参考图像描述符执行动作。

9. 发明授权

US09449238B2 Augmented image correlation 有权
标题翻译：增强图像相关性
公开(公告)号：US09449238B2
公开(公告)日：2016-09-20
申请号：US14266057
申请日：2014-04-30
申请人： Lexmark International, Inc.
发明人： Ahmed Hamad Mohamed Eid , Tomasz Jan Cholewo , Edward Earl Rippetoe, II
IPC分类号： G06K9/46 , G06K9/18 , G06K9/62 , G06K9/20
CPC分类号： G06K9/18 , G06K9/2063 , G06K9/46 , G06K9/468 , G06K9/62 , G06K9/6202 , G06K9/6215 , G06K9/6292 , G06K2209/01
摘要： Systems and methods search pixels of source images and compare them to pixels of templates. Best matches correlate to objects in the image. That environmental conditions impact the appearance of objects, best matching scores suffer under poor lighting and other adverse conditions. Improving scores includes augmenting traditional correlation techniques with object features extracted from the source image and matching them to templates corresponding to the features. Certain embodiments contemplate corrupting pixels of image templates corresponding to objects with pixels extracted from the source image corresponding to features. Representative features include corners, edges, ridges, points/regions of interest, etc. Other embodiments note augmented correlation as a computing application and computing devices therefore, including cameras for capturing images and displaying results to users.
摘要翻译：系统和方法搜索源图像的像素，并将其与模板的像素进行比较。最佳匹配与图像中的对象相关。环境条件影响物体的外观，最佳匹配分数在不良照明和其他不利条件下遭受损失。改进分数包括通过从源图像提取的对象特征来扩展传统的相关技术，并将它们与对应于特征的模板相匹配。某些实施例考虑到与从具有与特征相对应的源图像中提取的像素的对象相对应的图像模板的破坏性像素。代表性特征包括角，边，脊，感兴趣的点/区域等。其它实施例注意到作为计算应用和计算设备的增强相关性，因此包括用于捕获图像并向用户显示结果的相机。

10. 发明申请

US20150317533A1 Augmented Image Correlation 有权
标题翻译：增强图像相关
公开(公告)号：US20150317533A1
公开(公告)日：2015-11-05
申请号：US14266057
申请日：2014-04-30
申请人： Lexmark International, Inc.
发明人： Ahmed Hamad Mohamed Eid , Tomasz Jan Cholewo , Edward Earl Rippetoe, II
IPC分类号： G06K9/46 , G06K9/18 , G06K9/62
CPC分类号： G06K9/18 , G06K9/2063 , G06K9/46 , G06K9/468 , G06K9/62 , G06K9/6202 , G06K9/6215 , G06K9/6292 , G06K2209/01
摘要： Systems and methods search pixels of source images and compare them to pixels of templates. Best matches correlate to objects in the image. That environmental conditions impact the appearance of objects, best matching scores suffer under poor lighting and other adverse conditions. Improving scores includes augmenting traditional correlation techniques with object features extracted from the source image and matching them to templates corresponding to the features. Certain embodiments contemplate corrupting pixels of image templates corresponding to objects with pixels extracted from the source image corresponding to features. Representative features include corners, edges, ridges, points/regions of interest, etc. Other embodiments note augmented correlation as a computing application and computing devices therefore, including cameras for capturing images and displaying results to users.
摘要翻译：系统和方法搜索源图像的像素，并将其与模板的像素进行比较。最佳匹配与图像中的对象相关。环境条件影响物体的外观，最佳匹配分数在不良照明和其他不利条件下遭受损失。改进分数包括通过从源图像提取的对象特征来扩展传统的相关技术，并将它们与对应于特征的模板相匹配。某些实施例考虑到与从具有与特征相对应的源图像中提取的像素的对象相对应的图像模板的破坏性像素。代表性特征包括角，边，脊，感兴趣的点/区域等。其它实施例注意到作为计算应用和计算设备的增强相关性，因此包括用于捕获图像并向用户显示结果的相机。

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