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公开(公告)号:US12131565B2
公开(公告)日:2024-10-29
申请号:US18321543
申请日:2023-05-22
Applicant: Open Text Corporation
Inventor: Mikhail Yurievitch Zakharov , Kirill Vaniukov , Christopher Dale Lund
IPC: G06K9/00 , G06T11/00 , G06V10/26 , G06V10/94 , G06V30/224 , G06V30/413
CPC classification number: G06V30/413 , G06T11/001 , G06V10/273 , G06V10/95 , G06V30/2247
Abstract: Disclosed is an approach of on-device partial recognition that includes performing partial recognition on an image of a document captured by a mobile device to detect and/or recognize a specific area (e.g., barcodes, non-relevant text, etc.) and filling the recognized area with a solid color. Because the solid color area has a maximum compression ratio, this approach can lead to image size reduction and increased network throughput for client-server based data recognition where further processing such as advanced data extraction is performed at the server side. The approach can be enforced with neural network algorithms to exclude non-relevant information (e.g., logos, phrases, words, etc.).
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公开(公告)号:US11694459B2
公开(公告)日:2023-07-04
申请号:US17329060
申请日:2021-05-24
Applicant: Open Text Corporation
Inventor: Mikhail Yurievitch Zakharov , Kirill Vaniukov , Christopher Dale Lund
IPC: G06K9/20 , G06V30/413 , G06T11/00 , G06V30/224 , G06V10/26 , G06V10/94
CPC classification number: G06V30/413 , G06T11/001 , G06V10/273 , G06V10/95 , G06V30/2247
Abstract: Disclosed is an approach of on-device partial recognition that includes performing partial recognition on an image of a document captured by a mobile device to detect and/or recognize a specific area (e.g., barcodes, non-relevant text, etc.) and filling the recognized area with a solid color. Because the solid color area has a maximum compression ratio, this approach can lead to image size reduction and increased network throughput for client-server based data recognition where further processing such as advanced data extraction is performed at the server side. The approach can be enforced with neural network algorithms to exclude non-relevant information (e.g., logos, phrases, words, etc.).
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公开(公告)号:US11030447B2
公开(公告)日:2021-06-08
申请号:US17001646
申请日:2020-08-24
Applicant: Open Text Corporation
Inventor: Mikhail Yurievitch Zakharov , Kirill Vaniukov , Christopher Dale Lund
Abstract: Disclosed is an approach of on-device partial recognition that includes performing partial recognition on an image of a document captured by a mobile device to detect and/or recognize a specific area (e.g., barcodes, non-relevant text, etc.) and filling the recognized area with a solid color. Because the solid color area has a maximum compression ratio, this approach can lead to image size reduction and increased network throughput for client-server based data recognition where further processing such as advanced data extraction is performed at the server side. The approach can be enforced with neural network algorithms to exclude non-relevant information (e.g., logos, phrases, words, etc.).
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公开(公告)号:US20230298372A1
公开(公告)日:2023-09-21
申请号:US18321543
申请日:2023-05-22
Applicant: Open Text Corporation
Inventor: Mikhail Yurievitch Zakharov , Kirill Vaniukov , Christopher Dale Lund
IPC: G06V30/413 , G06T11/00 , G06V30/224 , G06V10/26 , G06V10/94
CPC classification number: G06V30/413 , G06T11/001 , G06V30/2247 , G06V10/273 , G06V10/95
Abstract: Disclosed is an approach of on-device partial recognition that includes performing partial recognition on an image of a document captured by a mobile device to detect and/or recognize a specific area (e.g., barcodes, non-relevant text, etc.) and filling the recognized area with a solid color. Because the solid color area has a maximum compression ratio, this approach can lead to image size reduction and increased network throughput for client-server based data recognition where further processing such as advanced data extraction is performed at the server side. The approach can be enforced with neural network algorithms to exclude non-relevant information (e.g., logos, phrases, words, etc.).
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公开(公告)号:US20190286895A1
公开(公告)日:2019-09-19
申请号:US16133151
申请日:2018-09-17
Applicant: OPEN TEXT CORPORATION
Inventor: Mikhail Yurievitch Zakharov , Kirill Vaniukov , Christopher Dale Lund
Abstract: Disclosed is an approach of on-device partial recognition that includes performing partial recognition on an image of a document captured by a mobile device to detect and/or recognize a specific area (e.g., barcodes, non-relevant text, etc.) and filling the recognized area with a solid color. Because the solid color area has a maximum compression ratio, this approach can lead to image size reduction and increased network throughput for client-server based data recognition where further processing such as advanced data extraction is performed at the server side. The approach can be enforced with neural network algorithms to exclude non-relevant information (e.g., logos, phrases, words, etc.).
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公开(公告)号:US10970534B2
公开(公告)日:2021-04-06
申请号:US16259656
申请日:2019-01-28
Applicant: OPEN TEXT CORPORATION
Inventor: Vitaly Stanislavovitch Kozlovsky , Mikhail Yurievitch Zakharov , Aleksandr Yevgenyevitch Maklakov , Alexey Vyatcheslavovitch Petrochenko
IPC: G06K9/00 , H04N1/04 , H04N1/00 , G06F16/93 , G06F40/151
Abstract: A system for document capture comprising a communication interface, a processor coupled to the communications interface, and a computer readable medium coupled to the processor. The computer readable medium stores a set of computer executable instructions that include instructions executable by the processor to receive an input capture flow comprising a first sequence of steps representing configurable code components of a document capture system. A step in the first sequence of steps holds configuration information for a corresponding configurable code component. The instructions further include instructions executable to compile the input capture flow into a capture process that defines a processing order for the configurable code components and setup attribute values for the configurable code components. Compiling the input capture flow into the capture process comprises optimizing the capture flow into a second sequence of steps and compiling the second sequence of steps into the capture process.
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公开(公告)号:US10755090B2
公开(公告)日:2020-08-25
申请号:US16133151
申请日:2018-09-17
Applicant: OPEN TEXT CORPORATION
Inventor: Mikhail Yurievitch Zakharov , Kirill Vaniukov , Christopher Dale Lund
Abstract: Disclosed is an approach of on-device partial recognition that includes performing partial recognition on an image of a document captured by a mobile device to detect and/or recognize a specific area (e.g., barcodes, non-relevant text, etc.) and filling the recognized area with a solid color. Because the solid color area has a maximum compression ratio, this approach can lead to image size reduction and increased network throughput for client-server based data recognition where further processing such as advanced data extraction is performed at the server side. The approach can be enforced with neural network algorithms to exclude non-relevant information (e.g., logos, phrases, words, etc.).
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公开(公告)号:US20210334529A1
公开(公告)日:2021-10-28
申请号:US17329060
申请日:2021-05-24
Applicant: Open Text Corporation
Inventor: Mikhail Yurievitch Zakharov , Kirill Vaniukov , Christopher Dale Lund
Abstract: Disclosed is an approach of on-device partial recognition that includes performing partial recognition on an image of a document captured by a mobile device to detect and/or recognize a specific area (e.g., barcodes, non-relevant text, etc.) and filling the recognized area with a solid color. Because the solid color area has a maximum compression ratio, this approach can lead to image size reduction and increased network throughput for client-server based data recognition where further processing such as advanced data extraction is performed at the server side. The approach can be enforced with neural network algorithms to exclude non-relevant information (e.g., logos, phrases, words, etc.).
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公开(公告)号:US20190236350A1
公开(公告)日:2019-08-01
申请号:US16259656
申请日:2019-01-28
Applicant: OPEN TEXT CORPORATION
Inventor: Vitaly Stanislavovitch Kozlovsky , Mikhail Yurievitch Zakharov , Aleksandr Yevgenyevitch Maklakov , Alexey Vyatcheslavovitch Petrochenko
CPC classification number: G06K9/00469 , G06F16/93 , G06F17/2264 , H04N1/00241 , H04N1/0461
Abstract: A system for document capture comprising a communication interface, a processor coupled to the communications interface, and a computer readable medium coupled to the processor. The computer readable medium stores a set of computer executable instructions that include instructions executable by the processor to receive an input capture flow comprising a first sequence of steps representing configurable code components of a document capture system. A step in the first sequence of steps holds configuration information for a corresponding configurable code component. The instructions further include instructions executable to compile the input capture flow into a capture process that defines a processing order for the configurable code components and setup attribute values for the configurable code components. Compiling the input capture flow into the capture process comprises optimizing the capture flow into a second sequence of steps and compiling the second sequence of steps into the capture process.
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