Annali di Ca’ Foscari. Serie orientale

An SVG-Based Approach for the Development of a Kanji Auto Assessment System

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Abstract

This paper proposes a vector-graphic approach to designing a kanji assessment system for enhancing instructional practices in Japanese language education. The study details the prototype of an experimental web application, built on a vector-graphics dataset, which captures kanji strokes in real time and compares learner-produced characters against reference models to generate efficacy scores. It also showcases the pedagogical versatility of animated stroke guidance for reinforcing correct writing procedures. Advantages (including potential Chinese support) and limitations are discussed considering practical benefits and appropriate use contexts.


Open access | Peer reviewed

Presentato: 24 Marzo 2025 | Accettato: 30 Aprile 2025 | Pubblicato 31 Luglio 2025 | Lingua: en

Keywords E-learning • Digital Humanities • Automatic handwritten recognition • Japanese language • Stroke-order recognition

Copyright © 2025 Alessandro Mantelli. This is an open-access work distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction is permitted, provided that the original author(s) and the copyright owner(s) are credited and that the original publication is cited, in accordance with accepted academic practice. The license allows for commercial use. No use, distribution or reproduction is permitted which does not comply with these terms.

Permalink http://doi.org/10.30687/AnnOr/2385-3042/2025/01/015