Extracting characters and character lines in multi-agent scheme

K. Gyohten, Tomoko Sumiya, N. Babaguchi, K. Kakusho, T. Kitahashi
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引用次数: 4

Abstract

In this paper, we present COCE (COordinative Character Extractor), a new method for extracting printed Japanese characters from an unformatted document image. This research aims to exploit knowledge independent of the layouts. COCE is based on a multiagent scheme where each agent is assigned to a single character line and tries to extract characters by making use of the knowledge about features of a character line as well as shapes and arrangement of characters. Moreover, the agents communicate with each other to keep consistency between their tasks. We have favourable results for the effectiveness of this method.
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多智能体方案中的字符和字符行提取
本文提出了一种从未格式化文档图像中提取打印日文字符的新方法COCE (coordinated Character Extractor)。本研究旨在开发与布局无关的知识。COCE基于多智能体方案,每个智能体被分配到单个字符线,并试图利用有关字符线的特征以及字符的形状和排列的知识来提取字符。此外,代理之间相互通信以保持其任务之间的一致性。我们对这种方法的有效性有良好的结果。
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