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1. 发明申请

US20100014718A1 Computationally Efficient Feature Extraction and Matching Iris Recognition 有权
标题翻译：计算有效的特征提取和匹配虹膜识别
公开(公告)号：US20100014718A1
公开(公告)日：2010-01-21
申请号：US12426210
申请日：2009-04-17
申请人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sung Won Park , Yunghui Li
发明人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sung Won Park , Yunghui Li
IPC分类号： G06K9/00
CPC分类号： G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
摘要： A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.
摘要翻译：一种用于基于虹膜图像唯一地识别对象的方法和系统。获得虹膜图像后，该方法通过将滤光片应用于虹膜图像来产生滤光虹膜图像，以增强虹膜图像的辨别特征。该方法分析过滤的虹膜图像中的像素的强度值，以产生唯一地识别被摄体的虹膜代码。该方法还通过检测虹膜图像中的虹膜区域的内部和外部边界并且将以笛卡尔坐标系表示的虹膜区域中的像素重新映射到分割的虹膜图像中的像素，从而形成分割的虹膜图像，其以对数极坐标系，采用对数表示过程。该方法还通过使用螺旋取样方法来展开虹膜区域来获得来自虹膜图像的一维虹膜串，以获得虹膜区域中的样本像素，其中样本像素是一维虹膜串。

2. 发明授权

US08411910B2 Computationally efficient feature extraction and matching iris recognition 有权
标题翻译：计算有效的特征提取和匹配虹膜识别
公开(公告)号：US08411910B2
公开(公告)日：2013-04-02
申请号：US12426210
申请日：2009-04-17
申请人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sung Won Park , Yunghui Li
发明人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sung Won Park , Yunghui Li
IPC分类号： G06K9/62
CPC分类号： G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
摘要： A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.
摘要翻译：一种用于基于虹膜图像唯一地识别对象的方法和系统。获得虹膜图像后，该方法通过将滤光片应用于虹膜图像来产生滤光虹膜图像，以增强虹膜图像的辨别特征。该方法分析过滤的虹膜图像中的像素的强度值，以产生唯一地识别被摄体的虹膜代码。该方法还通过检测虹膜图像中的虹膜区域的内部和外部边界并且将以笛卡尔坐标系表示的虹膜区域中的像素重新映射到分割的虹膜图像中的像素，从而形成分割的虹膜图像，其以对数极坐标系，采用对数表示过程。该方法还通过使用螺旋取样方法来展开虹膜区域来获得来自虹膜图像的一维虹膜串，以获得虹膜区域中的样本像素，其中样本像素是一维虹膜串。

3. 发明授权

US08861799B2 Computationally efficient feature extraction and matching iris recognition 有权
标题翻译：计算有效的特征提取和匹配虹膜识别
公开(公告)号：US08861799B2
公开(公告)日：2014-10-14
申请号：US13846837
申请日：2013-03-18
申请人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
发明人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
摘要： A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.
摘要翻译：一种用于基于虹膜图像唯一地识别对象的方法和系统。获得虹膜图像后，该方法通过将滤光片应用于虹膜图像来产生滤光虹膜图像，以增强虹膜图像的辨别特征。该方法分析过滤的虹膜图像中的像素的强度值，以产生唯一地识别被摄体的虹膜代码。该方法还通过检测虹膜图像中的虹膜区域的内部和外部边界并且将以笛卡尔坐标系表示的虹膜区域中的像素重新映射到分割的虹膜图像中的像素，从而形成分割的虹膜图像，其以对数极坐标系，采用对数表示过程。该方法还通过使用螺旋取样方法来展开虹膜区域来获得来自虹膜图像的一维虹膜串，以获得虹膜区域中的样本像素，其中样本像素是一维虹膜串。

4. 发明申请

US20130236067A1 Computationally Efficient Feature Extraction and Matching Iris Recognition 有权
标题翻译：计算有效的特征提取和匹配虹膜识别
公开(公告)号：US20130236067A1
公开(公告)日：2013-09-12
申请号：US13846837
申请日：2013-03-18
申请人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
发明人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
IPC分类号： G06K9/00
CPC分类号： G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
摘要： A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.
摘要翻译：一种用于基于虹膜图像唯一地识别对象的方法和系统。获得虹膜图像后，该方法通过将滤光片应用于虹膜图像来产生滤光虹膜图像，以增强虹膜图像的辨别特征。该方法分析过滤的虹膜图像中的像素的强度值，以产生唯一地识别被摄体的虹膜代码。该方法还通过检测虹膜图像中的虹膜区域的内部和外部边界并且将以笛卡尔坐标系表示的虹膜区域中的像素重新映射到分割的虹膜图像中的像素，从而形成分割的虹膜图像，其以对数极坐标系，采用对数表示过程。该方法还通过使用螺旋取样方法来展开虹膜区域来获得来自虹膜图像的一维虹膜串，以获得虹膜区域中的样本像素，其中样本像素是一维虹膜串。

5. 发明授权

US09454697B2 Computationally efficient feature extraction and matching iris recognition 有权
公开(公告)号：US09454697B2
公开(公告)日：2016-09-27
申请号：US14481861
申请日：2014-09-09
申请人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
发明人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
IPC分类号： G06K9/62 , G06K9/00 , G06T7/00
CPC分类号： G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
摘要： A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.

6. 发明申请

US20160019422A1 Computationally Efficient Feature Extraction and Matching Iris Recognition 审中-公开
公开(公告)号：US20160019422A1
公开(公告)日：2016-01-21
申请号：US14481861
申请日：2014-09-09
申请人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
发明人： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
摘要： A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.

7. 发明申请

US20090171866A1 System and method for learning associations between logical objects and determining relevance based upon user activity 审中-公开
标题翻译：用于学习逻辑对象之间的关联并基于用户活动确定相关性的系统和方法
公开(公告)号：US20090171866A1
公开(公告)日：2009-07-02
申请号：US11831351
申请日：2007-07-31
申请人： Toufique Harun , Daniel Kaplan , Khalid Harun , Rashed Harun , Catherine Lachance
发明人： Toufique Harun , Daniel Kaplan , Khalid Harun , Rashed Harun , Catherine Lachance
IPC分类号： G06F15/18 , G06F17/30
CPC分类号： G06N20/00 , G06F16/903
摘要： User activity streams are used to automatically learn associations between logical objects and form logical groups. Search results are sorted based upon their relevance to current user activity. Combined with a graphical user interface component and object database, the invention automatically retrieves and display groups and objects related to the active object.
摘要翻译：用户活动流用于自动学习逻辑对象之间的关联并形成逻辑组。搜索结果根据其与当前用户活动的相关性进行排序。结合图形用户界面组件和对象数据库，本发明自动检索和显示与活动对象相关的组和对象。

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