SYSTEMS AND METHODS FOR CLASSIFYING PAYMENT DOCUMENTS DURING MOBILE IMAGE PROCESSING

    公开(公告)号:US20220012487A1

    公开(公告)日:2022-01-13

    申请号:US17482782

    申请日:2021-09-23

    摘要: Systems and methods are provided for processing an image of a financial payment document captured using a mobile device and classifying the type of payment document in order to extract the content therein. These methods may be implemented on a mobile device or a central server, and can be used to identify content on the payment document and determine whether the payment document is ready to be processed by a business or financial institution. The system can identify the type of payment document by identifying features on the payment document and performing a series of steps to determine probabilities that the payment document belongs to a specific document type. The identification steps are arranged starting with the fastest step in order to attempt to quickly determine the payment document type without requiring lengthy, extensive analysis.

    SYSTEMS AND METHODS FOR DEVELOPING AND VERIFYING IMAGE PROCESSING STANDARDS FOR MOBILE DEPOSIT

    公开(公告)号:US20190228222A1

    公开(公告)日:2019-07-25

    申请号:US16259896

    申请日:2019-01-28

    摘要: Systems and methods are provided for assessing whether mobile deposit processing engines meet specified standards for mobile deposit of financial documents. A mobile deposit processing engine (MDE) is evaluated to determine if it can perform technical capabilities for improving the quality of and extracting content from an image of a financial document. A verification process then begins, where the MDE performs the image quality enhancements and text extraction steps on sets of images from a test deck. The results of the processing of the test deck are then evaluated by comparing confidence levels with thresholds to determine if each set of images should be accepted or rejected. Further analysis determines whether any of the sets of images were falsely accepted or rejected in error. An overall error rate is then compared with minimum accuracy criteria, and if the criteria are met, the MDE meets the standard for mobile deposit.

    Systems and methods for developing and verifying image processing standards for mobile deposit

    公开(公告)号:US10192108B2

    公开(公告)日:2019-01-29

    申请号:US14660795

    申请日:2015-03-17

    摘要: Systems and methods are provided for assessing whether mobile deposit processing engines meet specified standards for mobile deposit of financial documents. A mobile deposit processing engine (MDE) is evaluated to determine if it can perform technical capabilities for improving the quality of and extracting content from an image of a financial document. A verification process then begins, where the MDE performs the image quality enhancements and text extraction steps on sets of images from a test deck. The results of the processing of the test deck are then evaluated by comparing confidence levels with thresholds to determine if each set of images should be accepted or rejected. Further analysis determines whether any of the sets of images were falsely accepted or rejected in error. An overall error rate is then compared with minimum accuracy criteria, and if the criteria are met, the MDE meets the standard for mobile deposit.

    SYSTEMS AND METHODS FOR PROCESSING MOBILE IMAGES TO IDENTIFY AND EXTRACT CONTENT FROM FORMS
    8.
    发明申请
    SYSTEMS AND METHODS FOR PROCESSING MOBILE IMAGES TO IDENTIFY AND EXTRACT CONTENT FROM FORMS 审中-公开
    用于处理移动图像以识别和提取形式的内容的系统和方法

    公开(公告)号:US20140247998A1

    公开(公告)日:2014-09-04

    申请号:US14276973

    申请日:2014-05-13

    IPC分类号: G06K9/62

    摘要: Systems and methods for matching a received image with a template image are disclosed herein. Such systems and methods can advantageously enable an image captured by a mobile device (such as a smartphone or digital camera) to be correctly identified by the processing application. In some embodiments, the received image is first resized in one or both dimensions in order to match or approximately match the dimensions of a given template. The received image and template image can then be superimposed. Next, an optimal translative transformation value can be calculated in order to generate a confidence level for the current possible match. After confidence levels for each template are generated and recorded, the template with the highest confidence level can be selected as the best match for the received image.

    摘要翻译: 本文公开了用于将接收到的图像与模板图像进行匹配的系统和方法。 这样的系统和方法可以有利地使由移动设备(例如智能电话或数字照相机)捕获的图像被处理应用程序正确识别。 在一些实施例中,首先在一个或两个维度上调整所接收的图像,以便匹配或近似匹配给定模板的尺寸。 然后可以叠加接收到的图像和模板图像。 接下来,可以计算最佳平移变换值,以产生当前可能匹配的置信度。 在生成并记录每个模板的置信水平之后,可以选择具有最高置信水平的模板作为接收图像的最佳匹配。