Fast Logo Detection and Recognition in Document Images

Zhe Li, Matthias Schulte-Austum, M. Neschen
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引用次数: 51

Abstract

The scientific significance of automatic logo detection and recognition is more and more growing because of the increasing requirements of intelligent document image analysis and retrieval. In this paper, we introduce a system architecture which is aiming at segmentation-free and layout-independent logo detection and recognition. Along with the unique logo feature design, a novel way to ensure the geometrical relationships among the features, and different optimizations in the recognition process, this system can achieve improvements concerning both the recognition performance and the running time. The experimental results on several sets of real-word documents demonstrate the effectiveness of our approach.
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文档图像中的快速标识检测和识别
随着人们对智能文档图像分析与检索的要求越来越高,标志自动检测与识别的科学意义也越来越大。在本文中,我们介绍了一个针对无分割和不依赖布局的标志检测和识别的系统架构。该系统通过独特的标志特征设计、保证特征之间几何关系的新颖方法以及对识别过程的不同优化,使识别性能和运行时间都得到了提高。在几组实际文档上的实验结果证明了该方法的有效性。
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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