埃及象形文字人工视觉参数识别算法研究进展

Pub Date : 2023-01-01 DOI:10.12720/jait.14.4.788-795
Rafael Bolívar León, C. Peña, G. G. Moreno
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引用次数: 0

摘要

本文介绍了一种识别写在纸莎草纸上的埃及象形文字的算法的发展。对于算法的发展,参数化人工视觉技术的实现允许减少所需的计算能力。对人工视觉中使用的主要形态学特征进行了研究,选取了一些相关的形态学特征,并对其他形态学特征进行了快速归一化和量化。研究表明,已建立的特征允许区分和识别古埃及字母的象形文字。开发的算法的优点是它允许区分字符,而不管它们的初始大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Advances in the Development of an Algorithm for Parametric Identification of Egyptian Hieroglyphs Using Artificial Vision
—This article presents the development of an algorithm for identifying Egyptian hieroglyphs written on papyri. For the development of the algorithm, the implementation of parametric artificial vision techniques allowed the reduction of computational power required. A study of the main morphological characteristics used in artificial vision was carried out, some relevant ones were selected, and others were adapted to be normalized and quantified quickly. It was shown that the established characteristics allow the differentiation and identification of the hieroglyphs of the ancient Egyptian alphabet. The developed algorithm has the advantage that it allows to differentiate characters, regardless of their initial size.
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