Ubiquitous Document Capturing with Deep Learning

T. Naz, A. A. Khan, F. Shafait
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Abstract

Digital and paper based documents co-exist in our daily lives. Seamless integration of information from both sources is crucial for efficient knowledge management. This paper address the algorithm that can handle the detection of document so that it can be captured easily to convert it into a digital form for automatic integration of relevant information in electronic work flows. It uses the deep learning technique to provide a solution which is more generalized and flexible than other available solutions.
泛在文档捕获与深度学习
数字文件和纸质文件在我们的日常生活中共存。无缝集成来自两个来源的信息对于有效的知识管理至关重要。本文研究了一种能够处理文档检测的算法,使文档易于捕获并转换为数字形式,以便在电子工作流程中自动集成相关信息。它使用深度学习技术提供了一个比其他可用解决方案更通用和灵活的解决方案。
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