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Methods ofWeighted Combination for Text Field Recognition in a Video Stream

机译:视频流中文本域识别的加权组合方法

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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:由于文档识别的适用性显着扩展,因此对移动设备的识别需求很高 设备。与扫描仪不同,移动相机无法始终确保没有各种图像失真,因此, 提高识别精度的任务是相关的。与扫描仪相比,移动设备的优势在于能够使用 视频流输入,允许获取已识别文档的多个图像。尽管如此,仍然没有足够的关注 当前解决了在使用视频流输入时合并从不同帧获得的识别结果的问题。 本文提出了一种加权文本字符串识别结果的组合方法和加权准则,并提供 验证其有效性和有效性的实验数据。根据获得的结果,可以得出结论: 这样的加权组合的“ 0”适合于改善视频流识别结果的质量。

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