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Recognizing broken characters in Thai Historical documents

机译:识别泰国历史文献中的残破字符

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摘要

One of the biggest challenges in restoring historical documents is to achieve a high level of OCR accuracy. The main characteristic inherent to these valuable but degraded documents is the abundant presence of broken characters. This paper represents this problem as a mathematical model. We also propose a novel solution based on set-partitions to recognize broken characters in Thai Historical documents. Experiments based on this solution have been performed and the results are very promising.
机译:恢复历史文档的最大挑战之一是实现高水平的OCR准确性。这些有价值但性能下降的文档固有的主要特征是残破字符的大量存在。本文将这个问题表示为一个数学模型。我们还提出了一种基于集合分区的新颖解决方案,以识别泰国历史文献中的残破字符。已经进行了基于该解决方案的实验,结果非常有希望。

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