Smart IDReader: Document Recognition in Video Stream

K. Bulatov, V. Arlazarov, T. S. Chernov, O. Slavin, D. Nikolaev
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引用次数: 55

Abstract

This work is devoted to an identity document recognition system design for use in mobile phones and tablets using the computational capabilities of the device itself. Key differences are discussed in relation to conservative cloud recognition systems which commonly use single images as an input by design. A mobile recognition system chart is presented which is constructed with computational limitations in mind and which is implemented in a commercial solution. An original approach designed to improve recognition precision and reliability using post-OCR results integration in video stream, as opposed to approaches which rely on frame image integration using "super-resolution" algorithms. An interactive feedback between the system and its operator is discussed, such as automatic video stream recognition stopping decision. Experimental results are presented for an implemented commercial system "Smart IDReader" designed for identity documents recognition.
智能IDReader:视频流中的文档识别
这项工作致力于设计一个身份证件识别系统,用于移动电话和平板电脑,利用设备本身的计算能力。讨论了与保守的云识别系统的主要区别,后者通常使用单个图像作为设计的输入。提出了一种考虑到计算限制的移动识别系统图,并在商业解决方案中实现。一种原始的方法,旨在提高识别精度和可靠性,使用后ocr结果集成视频流,而不是依赖于使用“超分辨率”算法的帧图像集成的方法。讨论了系统与操作者之间的交互反馈,如自动视频流识别停止决策。介绍了一种用于身份证件识别的商业系统“智能身份证阅读器”的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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