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Methods ofWeighted Combination for Text Field Recognition in a Video Stream

机译:视频流中文本字段识别的重量组合方法

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Due to a noticeable expansion of document recognition applicability, there is a high demand for recognition on mobiledevices. A mobile camera, unlike a scanner, cannot always ensure the absence of various image distortions, therefore thetask of improving the recognition precision is relevant. The advantage of mobile devices over scanners is the ability to usevideo stream input, which allows to get multiple images of a recognized document. Despite this, not enough attention iscurrently paid to the issue of combining recognition results obtained from different frames when using video stream input.In this paper we propose a weighted text string recognition results combination method and weighting criteria, and provideexperimental data for verifying their validity and effectiveness. Based on the obtained results, it is concluded that the useof such weighted combination is appropriate for improving the quality of the video stream recognition result.
机译:由于文档识别适用性的明显扩展,对移动设备的识别需求很高 设备。 与扫描仪不同,移动相机不能始终确保缺乏各种图像扭曲,因此 提高识别精度的任务是相关的。 移动设备在扫描仪上的优势是使用的能力 视频流输入,允许获得识别的文档的多个图像。 尽管如此,不够重视 目前支付使用视频流输入时从不同帧中获得的识别结果的问题。 在本文中,我们提出了一种加权文本字符串识别结果组合方法和加权标准,并提供 用于验证其有效性和有效性的实验数据。 根据获得的结果,得出结论是使用 在这种加权组合中适用于提高视频流识别结果的质量。

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