Patents by Inventor Ramesh Sridharan
Ramesh Sridharan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11861471Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.Type: GrantFiled: December 16, 2021Date of Patent: January 2, 2024Assignee: DST Technologies, Inc.Inventors: Hui Peng Hu, Ramesh Sridharan
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Publication number: 20230260305Abstract: Disclosed are a method and apparatus for identifying versions of a form. In an example, clients of a medical company fill out many forms, and many of these forms have multiple versions. The medical company operates in 10 states, and each state has a different version of a client intake form, as well as of an insurance identification form. In order to automatically extract information from a particular filled out form, it may be helpful to identify a particular form template, as well as the version of the form template, of which the filled out form is an instance. A computer system evaluates images of filled out forms, and identifies various form templates and versions of form templates based on the images.Type: ApplicationFiled: February 13, 2023Publication date: August 17, 2023Inventor: Ramesh Sridharan
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Publication number: 20230153939Abstract: Disclosed herein is a machine learning application for automatically reading filled-in forms. There are multiple steps involved in using a computer to accurately read a handwritten form. First, the system identifies the form. Second, the system identifies what parts of the form are important. Third, the important parts are extracted as image data (known as shreds). Finally, fourth, the system interprets the shreds. This application is focused on steps two and three of that overall process. The disclosed techniques relate to training a machine learning system on a given series of forms such that when provided future filled-in forms within that series, the system is able to extract the portions of the filled-in form that are important/relevant.Type: ApplicationFiled: November 17, 2022Publication date: May 18, 2023Inventors: Zangnan Yu, Jacob Abernethy, Ramesh Sridharan
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Patent number: 11610418Abstract: Disclosed are a method and apparatus for identifying versions of a form. In an example, clients of a medical company fill out many forms, and many of these forms have multiple versions. The medical company operates in 10 states, and each state has a different version of a client intake form, as well as of an insurance identification form. In order to automatically extract information from a particular filled out form, it may be helpful to identify a particular form template, as well as the version of the form template, of which the filled out form is an instance. A computer system evaluates images of filled out forms, and identifies various form templates and versions of form templates based on the images.Type: GrantFiled: July 8, 2020Date of Patent: March 21, 2023Assignee: DST Technologies, Inc.Inventor: Ramesh Sridharan
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Patent number: 11508172Abstract: Disclosed herein is a machine learning application for automatically reading filled-in forms. There are multiple steps involved in using a computer to accurately read a handwritten form. First, the system identifies the form. Second, the system identifies what parts of the form are important. Third, the important parts are extracted as image data (known as shreds). Finally, fourth, the system interprets the shreds. This application is focused on steps two and three of that overall process. The disclosed techniques relate to training a machine learning system on a given series of forms such that when provided future filled-in forms within that series, the system is able to extract the portions of the filled-in form that are important/relevant.Type: GrantFiled: December 21, 2018Date of Patent: November 22, 2022Assignee: DST Technologies, Inc.Inventors: Zangnan Yu, Jacob Abernethy, Ramesh Sridharan
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Publication number: 20220172500Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.Type: ApplicationFiled: December 16, 2021Publication date: June 2, 2022Inventors: Hui Peng Hu, Ramesh Sridharan
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Patent number: 11308319Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.Type: GrantFiled: November 27, 2019Date of Patent: April 19, 2022Assignee: DST Technologies, Inc.Inventors: Hui Peng Hu, Ramesh Sridharan
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Patent number: 11238275Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.Type: GrantFiled: November 8, 2019Date of Patent: February 1, 2022Assignee: DST Technologies, Inc.Inventors: Hui Peng Hu, Ramesh Sridharan
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Publication number: 20210142054Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.Type: ApplicationFiled: November 27, 2019Publication date: May 13, 2021Inventors: Hui Peng Hu, Ramesh Sridharan
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Publication number: 20210142053Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.Type: ApplicationFiled: November 8, 2019Publication date: May 13, 2021Inventors: Hui Peng Hu, Ramesh Sridharan
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Publication number: 20200334456Abstract: Disclosed are a method and apparatus for identifying versions of a form. In an example, clients of a medical company fill out many forms, and many of these forms have multiple versions. The medical company operates in 10 states, and each state has a different version of a client intake form, as well as of an insurance identification form. In order to automatically extract information from a particular filled out form, it may be helpful to identify a particular form template, as well as the version of the form template, of which the filled out form is an instance. A computer system evaluates images of filled out forms, and identifies various form templates and versions of form templates based on the images.Type: ApplicationFiled: July 8, 2020Publication date: October 22, 2020Inventor: Ramesh Sridharan
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Patent number: 10803309Abstract: Disclosed are a method and apparatus for determining a given variation of a form used by a filled in instance of that type of form from amongst a number of form templates. The given instance is aligned to each of the variants or form templates. The result of the alignment includes a series of key points that did not match up well (“bad” key points). The bad key points are taken from the form templates. Then, a set of pixel patches from around each of the bad key points of the form templates are extracted. The pixel patches are individually compared to corresponding pixel patches of the instance. The comparison generates a match score. The form template having the greatest match score is the correct form template.Type: GrantFiled: December 21, 2018Date of Patent: October 13, 2020Assignee: Captricity, Inc.Inventors: Ramesh Sridharan, Michail Iliadis, Hui Peng Hu
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Patent number: 10747994Abstract: Disclosed are a method and apparatus for identifying versions of a form. In an example, clients of a medical company fill out many forms, and many of these forms have multiple versions. The medical company operates in 10 states, and each state has a different version of a client intake form, as well as of an insurance identification form. In order to automatically extract information from a particular filled out form, it may be helpful to identify a particular form template, as well as the version of the form template, of which the filled out form is an instance. A computer system evaluates images of filled out forms, and identifies various form templates and versions of form templates based on the images.Type: GrantFiled: December 12, 2017Date of Patent: August 18, 2020Assignee: Captricity, Inc.Inventor: Ramesh Sridharan
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Publication number: 20190205632Abstract: Disclosed herein is a machine learning application for automatically reading filled-in forms. There are multiple steps involved in using a computer to accurately read a handwritten form. First, the system identifies the form. Second, the system identifies what parts of the form are important. Third, the important parts are extracted as image data (known as shreds). Finally, fourth, the system interprets the shreds. This application is focused on steps two and three of that overall process. The disclosed techniques relate to training a machine learning system on a given series of forms such that when provided future filled-in forms within that series, the system is able to extract the portions of the filled-in form that are important/relevant.Type: ApplicationFiled: December 21, 2018Publication date: July 4, 2019Inventors: Zangnan Yu, Jacob Abernethy, Ramesh Sridharan
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Publication number: 20190197304Abstract: Disclosed are a method and apparatus for determining a given variation of a form used by a filled in instance of that type of form from amongst a number of form templates. The given instance is aligned to each of the variants or form templates. The result of the alignment includes a series of key points that did not match up well (“bad” key points). The bad key points are taken from the form templates. Then, a set of pixel patches from around each of the bad key points of the form templates are extracted. The pixel patches are individually compared to corresponding pixel patches of the instance. The comparison generates a match score. The form template having the greatest match score is the correct form template.Type: ApplicationFiled: December 21, 2018Publication date: June 27, 2019Inventors: Ramesh Sridharan, Michail Iliadis, Hui Peng Hu
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Publication number: 20180181808Abstract: Disclosed are a method and apparatus for identifying versions of a form. In an example, clients of a medical company fill out many forms, and many of these forms have multiple versions. The medical company operates in 10 states, and each state has a different version of a client intake form, as well as of an insurance identification form. In order to automatically extract information from a particular filled out form, it may be helpful to identify a particular form template, as well as the version of the form template, of which the filled out form is an instance. A computer system evaluates images of filled out forms, and identifies various form templates and versions of form templates based on the images.Type: ApplicationFiled: December 12, 2017Publication date: June 28, 2018Inventor: Ramesh Sridharan