On-device partial recognition systems and methods

    公开(公告)号:US11030447B2

    公开(公告)日:2021-06-08

    申请号:US17001646

    申请日:2020-08-24

    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.).

    ON-DEVICE PARTIAL RECOGNITION SYSTEMS AND METHODS

    公开(公告)号:US20190286895A1

    公开(公告)日:2019-09-19

    申请号:US16133151

    申请日:2018-09-17

    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.).

    Document processing system capture flow compiler

    公开(公告)号:US10970534B2

    公开(公告)日:2021-04-06

    申请号:US16259656

    申请日:2019-01-28

    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.

    On-device partial recognition systems and methods

    公开(公告)号:US10755090B2

    公开(公告)日:2020-08-25

    申请号:US16133151

    申请日:2018-09-17

    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.).

    ON-DEVICE PARTIAL RECOGNITION SYSTEMS AND METHODS

    公开(公告)号:US20210334529A1

    公开(公告)日:2021-10-28

    申请号:US17329060

    申请日:2021-05-24

    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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