Palm leaves were one of the essential and primary sources for writing before the advent of paper. Tamil is one of the oldest southern Indian languages and among the ten oldest languages of the world. Agathiyar, a renowned Siddhar of ancient India, considered as the Father of Siddha Medicine, wrote all his therapeutic procedures only on palm leaf manuscripts, in the Tamil language. For modern day, people who try to only write and read new aspects of Tamil, identifying the ancient characters of the language is difficult. To expand readability and secure the written medicinal practices and traditions, a better recognition system is needed that can transform the ancient text images to modern ones, interpreting the ancient Tamil characters from palm leaves and understanding their contexts a time‐consuming and complicated process. Especially when it comes to medicine, the practitioners need to understand the contents of a manuscript, to apply them on a daily basis. Therefore, a recognition system is of much use to understand, interpret, and apply the techniques explained in the manuscript on a daily basis. This study is an attempt to create a considerable volume of Tamil character datasets through the segregation of ancient Tamil palm leaf manuscripts related to the field of medicine. In this study, the characters created are fed as inputs to expert systems for intelligent recognition of the context and content perceived to be present in the selected medical manuscripts. The characters have been identified in large numbers manually, and datasets are created using Gaussian distortion.

中文翻译：

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通过隔离医学中古代棕榈叶手稿来创建原始泰米尔语字符数据集

在纸问世之前，棕榈叶是书写的重要和主要来源之一。泰米尔语是印度南部最古老的语言之一，也是世界上十种最古老的语言之一。阿加迪亚（Agathiyar）是古印度著名的悉达多（Siddhar），被认为是悉达医学之父（Siddha Medicine）。对于现代人来说，仅尝试阅读和阅读泰米尔语新内容的人很难识别该语言的古老字符。为了扩大可读性并确保书面的医学惯例和传统，需要一个更好的识别系统，该系统可以将古代文本图像转换为现代图像，从棕榈叶解释古代泰米尔语字符并理解其上下文是耗时且复杂的过程。尤其是在医学方面，从业人员需要了解手稿的内容，并每天使用它们。因此，识别系统每天用于理解，解释和应用手稿中解释的技术。这项研究是通过隔离与医学领域相关的古老泰米尔棕榈叶手稿来创建大量泰米尔字符数据集的尝试。在这项研究中，将创建的字符作为输入输入到专家系统，以智能识别所选医疗手稿中存在的上下文和内容。手动识别了大量字符，并使用高斯失真创建数据集。每天使用它们。因此，识别系统每天用于理解，解释和应用手稿中解释的技术。这项研究是通过隔离与医学领域相关的古老泰米尔棕榈叶手稿来创建大量泰米尔字符数据集的尝试。在这项研究中，将创建的字符作为输入输入到专家系统，以智能识别所选医疗手稿中存在的上下文和内容。手动识别了大量字符，并使用高斯失真创建数据集。每天使用它们。因此，识别系统每天用于理解，解释和应用手稿中解释的技术。这项研究是通过隔离与医学领域相关的古老泰米尔棕榈叶手稿来创建大量泰米尔字符数据集的尝试。在这项研究中，将创建的字符作为输入输入到专家系统，以智能识别所选医疗手稿中存在的上下文和内容。手动识别了大量字符，并使用高斯失真创建数据集。这项研究是通过隔离与医学领域相关的古老泰米尔棕榈叶手稿来创建大量泰米尔字符数据集的尝试。在这项研究中，将创建的字符作为输入输入到专家系统，以智能识别所选医疗手稿中存在的上下文和内容。手动识别了大量字符，并使用高斯失真创建数据集。这项研究是通过隔离与医学领域相关的古老泰米尔棕榈叶手稿来创建大量泰米尔字符数据集的尝试。在这项研究中，将创建的字符作为输入输入到专家系统，以智能识别所选医疗手稿中存在的上下文和内容。手动识别了大量字符，并使用高斯失真创建数据集。