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1. 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。

2. 发明申请

US20170337689A1 METHOD FOR VALIDATING SEGMENTATION OF OBJECTS WITH ARBITRARY SHAPES 审中-公开
公开(公告)号：US20170337689A1
公开(公告)日：2017-11-23
申请号：US15160838
申请日：2016-05-20
申请人： Yung-Hui Li
发明人： Yung-Hui Li
IPC分类号： G06T7/10 , G06K9/00 , G06T7/11 , G06T7/33
CPC分类号： G06T7/10 , G06K9/0061 , G06K9/4604 , G06K9/6223 , G06T7/11 , G06T7/12 , G06T7/149 , G06T7/33 , G06T2207/20116 , G06T2207/30041
摘要： A method for validating segmentation of an object includes the following steps: processing an image of the object to enhance contour characteristics of the object and reduce external interference; setting a presumptive segmentation contour according to a characteristic equation and setting an inner boundary and an outer boundary for the presumptive segmentation contour to define an area; and setting a predetermined number of pairs of points and accumulating differences of the pairs of points to judge the correctness of segmentation of the object. Each pair of points includes a first sample point on the outer boundary and a second sample point on the inner boundary.

3. 发明授权

US09916501B2 Smart eyeglasses with iris recognition device 有权
公开(公告)号：US09916501B2
公开(公告)日：2018-03-13
申请号：US15217027
申请日：2016-07-22
申请人： Yung-Hui Li
发明人： Yung-Hui Li
IPC分类号： G06K9/00 , G02C11/00
CPC分类号： G06K9/00597 , G02C11/10 , G06K9/00604 , G06K9/209
摘要： Smart eyeglasses with iris recognition device comprise at least one glasses frame, a glasses arm connected to a side of the glasses frame; an iris recognition device installed on the glasses frame and having a recognition unit facing an inner side of the glasses frame. A light source device installed on the glasses frame projects a light on an inner side of an outer boundary of an iris of an eyeball, and not in contact with the outer boundary of the iris. The iris is sampled more easily and clearly with luminosity compensation of the light source device for enhancing the accuracy and sampling speed.

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. 发明申请

US20200327304A1 SYSTEM AND METHOD FOR RAPIDLY LOCATING IRIS USING DEEP LEARNING 审中-公开
公开(公告)号：US20200327304A1
公开(公告)日：2020-10-15
申请号：US16405147
申请日：2019-05-07
申请人： Yung-Hui Li
发明人： Yung-Hui Li
IPC分类号： G06K9/00 , G06K9/62
摘要： A system and method for rapidly locating iris using deep learning. The system consists of a lighting unit, an image capture module and a controlling and processing module. Particularly, there are an eye pattern determining unit, an inner boundary estimating unit and an outer boundary estimating unit provided in the controlling and processing module. The eye pattern determining unit is used for determining an eye candidate region from an eye image frame, and the inner boundary estimating unit and the outer boundary estimating unit are configured for respectively determining an inner boundary and an outer boundary of an iris. Moreover, experimental data have proved that, the system of the present invention is able to find out and locate an iris region from an image frame containing an eye pattern within 0.06 seconds by an accuracy of at least 95.49%.

6. 发明申请

US20180025226A1 SMART EYEGLASSES WITH IRIS RECOGNITION DEVICE 审中-公开
公开(公告)号：US20180025226A1
公开(公告)日：2018-01-25
申请号：US15217027
申请日：2016-07-22
申请人： Yung-Hui Li
发明人： Yung-Hui Li
IPC分类号： G06K9/00 , G02C11/00
CPC分类号： G06K9/00597 , G02C11/10 , G06K9/00604 , G06K9/209
摘要： Smart eyeglasses with iris recognition device comprise at least one glasses frame, a glasses arm connected to a side of the glasses frame; an iris recognition device installed on the glasses frame and having a recognition unit facing an inner side of the glasses frame. A light source device installed on the glasses frame projects a light on an inner side of an outer boundary of an iris of an eyeball, and not in contact with the outer boundary of the iris. The iris is sampled more easily and clearly with luminosity compensation of the light source device for enhancing the accuracy and sampling speed.

7. 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.

8. 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.

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