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引用次数: 5

摘要

便携式辅助设备越来越普及。由于现在大多数手机都配备了摄像头,它们可以为盲人和视力受损的人提供一种简单的方式来获取他们周围环境的视觉信息。在本文中,我们提出了一种钞票识别系统,用于我们之前提出的移动设备,称为仿生眼镜。我们采用了一种基于纸币结构拓扑的识别方案,使检测到的视觉特征不会独立地加入到集成分类器中,而是通过激励-抑制模型进行耦合。我们已经证明,该技术优于经典的集成分类器。
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Mobile banknote recognition: topological models in scene understanding
Portable assistive devices are getting more and more widespread. Since most cell phones are nowadays equipped with cameras they can provide an easy way for blind and visually impaired people to obtain visual information about their environment. In this paper we present a banknote recognition system for our previously proposed mobile device, called the bionic eyeglass. We employ a recognition scheme based on the structural topology of banknotes that enables that the visual features detected are not joined in an ensemble classifier independently, but they are coupled via an excitation-inhibition model. We have shown that the technique outperforms classical ensemble classifiers.
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