Script recognition is the mechanism of automatic script analysis and recognition whereby intensive study has been carried out and a significant amount of papers on this problem have been released over the past. But there are still a few issues to be solved, particularly in Indian historical manuscripts. This literature examines the Script recognition with reference to multi-script document and different historical scripts such as Kurdish-Latin, Devanagari, Grantha, Arabic handwritten characters, Bangladesh, Devanagari and Gurumukhi, ancient Chinese, Arabic, Nam Character, Greek, Nastalique Urdu, Georgian handwritten, Nandinagari, and Hebrew, which provide the course of study that focuses on the framework for script recognition. This review concentrates on scope of prediction, dataset type, the methods used for data preprocessing, and measures of performance used for analysis. On the basis of this survey, Current research constraints have been recognized and future study specifications are emphasized in the area of modeling historical manuscripts. CCS Concepts:

中文翻译：

---

手写和历史文献字符自动识别方法研究

脚本识别是一种自动分析和识别脚本的机制，对此进行了深入的研究，过去已经发表了大量关于这个问题的论文。但仍有一些问题需要解决，尤其是在印度历史手稿中。该文献参考多文字文件和不同的历史文字，如库尔德拉丁文、梵文、Grantha、阿拉伯手写字符、孟加拉国、梵文和 Gurumukhi、古汉语、阿拉伯文、南文字、希腊文、乌尔都语、格鲁吉亚手写、Nandinagari 和希伯来语，提供侧重于脚本识别框架的学习课程。这篇综述集中在预测范围、数据集类型、用于数据预处理的方法、以及用于分析的性能度量。在本次调查的基础上，目前的研究限制已得到认可，未来的研究规范将在历史手稿建模领域得到强调。CCS 概念：