The analysis of ancient literary works in the era of digital intelligence needs to keep pace with the times. In order to improve the analysis effect of ancient literary works, this paper combines the intelligent image text recognition algorithm to extract the features of ancient literary works and proposes an intelligent algorithm that can be used for the analysis of ancient literary works. Moreover, this paper combines the analysis needs of literary works to improve the algorithm. In order to verify the role of the intelligent image text recognition algorithm proposed in this paper in the analysis of ancient literary works, this paper scans a large number of pictures of ancient literary works in the library by scanning to construct the experimental database of this paper. Finally, this paper combines experimental research to verify the algorithm proposed in this paper. From the experimental results, it can be seen that the method proposed in this paper has a certain effect, and it can be used as a reference for the digital processing and digital preservation of subsequent literary works, and it can also be used as a reference for the management of digital libraries.

中文翻译：

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基于智能图像文本识别的古代文学作品分析

数字智能时代的古代文学作品分析需要与时俱进。为了提高古代文学作品的分析效果，本文结合智能图文识别算法对古代文学作品进行特征提取，提出一种可用于古代文学作品分析的智能算法。此外，本文结合文学作品的分析需求对算法进行了改进。为了验证本文提出的智能图文识别算法在古文作品分析中的作用，本文通过扫描的方式对图书馆大量古文作品图片进行扫描，构建了本文的实验数据库。 . 最后，本文结合实验研究对本文提出的算法进行了验证。从实验结果可以看出，本文提出的方法具有一定的效果，可以作为后续文学作品数字化处理和数字化保存的参考，也可以作为参考。用于数字图书馆的管理。