Scene Text Character Recognition Using Spatiality Embedded Dictionary

Scene Text Character Recognition Using Spatiality Embedded Dictionary
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使用空间嵌入字典进行场景文本字符识别

DOI:
10.1587/transinf.e97.d.1942
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发表时间:
2014-07
影响因子:
0.7
通讯作者:
张重
张重
中科院分区:
计算机科学4区
文献类型:
--
作者:
肖柏华;史存召;周文;张重

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本文试图在场景文本字符识别的编码/池化方案中,对传统的空间金字塔(SP)之外的空间布局建模。具体来说,我们提出了一种新的方法来建立一个字典称为空间性嵌入字典(SED),其中每个码字代表一个特定的字符笔画,并与本地响应区域。有前途的结果优于其他国家的最先进的算法。
This paper tries to model spatial layout beyond the traditional spatial pyramid (SP) in the coding/pooling scheme for scene text character recognition. Specifically, we propose a novel method to build a dictionary called spatiality embedded dictionary (SED) in which each code-word represents a particular character stroke and is associated with a local response region. The promising results outperform other state-of-the-art algorithms.
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