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公开(公告)号：US11049235B2
公开(公告)日：2021-06-29
申请号：US17083568
申请日：2020-10-29
Applicant: SAS Institute Inc.
IPC: G06K9/00 , G06T7/00 , G06F16/81 , G06F16/93 , G06F40/284 , G06F40/186 , G06F40/169 , G06K9/68 , G06K9/62
Abstract: Embodiments are generally directed to techniques for extracting contextually structured data from document images, such as by automatically identifying document layout, document data, and/or document metadata in a document image, for instance. Many embodiments are particularly directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. For example, the document template database may include a plurality of templates for identifying/explaining key data elements in various document image formats that can be used to extract contextually structured data from incoming document images with a matching document image format. Several embodiments are particularly directed to automatically identifying and associating document metadata with corresponding document data in a document image, such as for generating a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation of a document may be used to generate a template for the template database.
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公开(公告)号：US11087077B2
公开(公告)日：2021-08-10
申请号：US17089962
申请日：2020-11-05
Applicant: SAS Institute Inc.
IPC: G06K9/00 , G06F40/169 , G06F16/93 , G06F40/284 , G06F40/186 , G06K9/46 , G06F3/0484
Abstract: Embodiments are generally directed to techniques for extracting contextually structured data from document images, such as by automatically identifying document layout, document data, and/or document metadata in a document image, for instance. Many embodiments are particularly directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. For example, the document template database may include a plurality of templates for identifying/explaining key data elements in various document image formats that can be used to extract contextually structured data from incoming document images with a matching document image format. Several embodiments are particularly directed to automatically identifying and associating document metadata with corresponding document data in a document image, such as for generating a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation of a document may be used to generate a template for the template database.
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公开(公告)号：US20210200937A1
公开(公告)日：2021-07-01
申请号：US17089962
申请日：2020-11-05
Applicant: SAS Institute Inc.
IPC: G06F40/169 , G06F16/93 , G06F40/284 , G06F3/0484 , G06F40/186 , G06K9/46
Abstract: Embodiments are generally directed to techniques for extracting contextually structured data from document images, such as by automatically identifying document layout, document data, and/or document metadata in a document image, for instance. Many embodiments are particularly directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. For example, the document template database may include a plurality of templates for identifying/explaining key data elements in various document image formats that can be used to extract contextually structured data from incoming document images with a matching document image format. Several embodiments are particularly directed to automatically identifying and associating document metadata with corresponding document data in a document image, such as for generating a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation of a document may be used to generate a template for the template database.
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公开(公告)号：US20210110527A1
公开(公告)日：2021-04-15
申请号：US17083568
申请日：2020-10-29
Applicant: SAS Institute Inc.
IPC: G06T7/00 , G06F16/81 , G06F16/93 , G06F40/284 , G06F40/186 , G06F40/169
Abstract: Embodiments are generally directed to techniques for extracting contextually structured data from document images, such as by automatically identifying document layout, document data, and/or document metadata in a document image, for instance. Many embodiments are particularly directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. For example, the document template database may include a plurality of templates for identifying/explaining key data elements in various document image formats that can be used to extract contextually structured data from incoming document images with a matching document image format. Several embodiments are particularly directed to automatically identifying and associating document metadata with corresponding document data in a document image, such as for generating a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation of a document may be used to generate a template for the template database.
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