Probabilistic model for segmentation based word recognition with lexicon
Probabilistic model for segmentation based word recognition with lexicon
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DOI：
10.1109/icdar.2001.953776
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发表时间：
2001-09
期刊：
影响因子：
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通讯作者：
S. Tulyakov;V. Govindaraju
中科院分区：
文献类型：
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作者：
S. Tulyakov;V. Govindaraju
我们描述了一个模型的建设离线单词识别器的基础上过分割的输入图像和识别段组合的字符在一个给定的词典字。一个这样的识别器，字模型识别器（WMR），被广泛使用。基于所提出的模型，有可能提高WMR的性能。
We describe the construction of a model for off-line word recognizers based on over-segmentation of the input image and recognition of segment combinations as characters in a given lexicon word. One such recognizer, the Word Model Recognizer (WMR), is used extensively. Based on the proposed model it was possible to improve the performance of WMR.