Research on Feature Extraction and Recognition of Dongba Hieroglyphs

Abstract

The Naxi people in Lijiang, China, have created a pictograph that represents the Dongba culture. The ancient books written with this script are one of the three world heritages in Lijiang, and are known as “the only living ancient script in the world” (Likun in Dongba ancient books and documents of Naxi nationality 2021 [1]). Dongba hieroglyphs are written by different Dongba elders. Different writing habits lead to the phenomenon of variant characters in multiple versions of the same character, as well as the complex structure, different forms, complex background and image noise of Dongba text, this paper puts forward two parts to realize feature extraction and image recognition, topological characteristics and characteristics of grid, Input of neural network training, and combining the neural network using multilevel identification model, template matching and through experiment verification, this algorithm is 9.92% higher than that of the recognition rate of template matching algorithm, and the algorithm of recognition is got improved significantly, the results show that the method to achieve accurate and efficient implementation of Dongba hieroglyphics identification purposes.