复杂背景下无布局字符的识别

M. Iwamura, Takuya Kobayashi, Takahiro Matsuda, K. Kise
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引用次数: 0

摘要

识别场景中的人物是一个具有挑战性且尚未解决的问题。在这个演示中,我们展示了一种有效的方法来处理这个问题:识别日本字符,包括复杂的字符,如汉字(汉字),这些字符可能不是在一条直线上对齐的,也可能是在复杂的背景上打印的。在演示中,我们的识别方法被应用于用网络摄像头捕获的图像序列。识别方法是基于局部特征及其对齐。此外,采用跟踪方法,对识别结果和提取的特征进行累积,随着时间的推移提高识别精度。该演示在标准笔记本电脑上的运行速度约为每秒1帧。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognition of Layout-Free Characters on Complex Background
Recognizing characters in a scene is a challenging and unsolved problem. In this demonstration, we show an effective approach to cope with the problems: recognizing Japanese characters including complex characters such as Kanji (Chinese characters), which may not be aligned on a straight line and may be printed on a complex background. In the demo, our recognition method is applied to image sequences captured with a web camera. The recognition method is based on local features and their alignment. In addition, using a tracking method, recognition results and extracted features are accumulated so as to increase recognition accuracy as time goes on. The demo runs about 1 fps on a standard laptop computer.
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