Improving Online Handwriting Recognition with Transfer Learning Using Out-of-Domain and Different-Dimensional Sources

Jiseok Lee, Masaki Akiba, Brian Kenji Iwana

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

Online handwriting recognition is a widely used technique in our daily lives. Furthermore, deep learning has become one of the most popular and influential methods for online handwriting recognition. However, artificial neural networks typically require massive datasets. Transfer learning is a standard method to overcome the problem of lack of data. Usually, transfer learning works by initiating a network with trained weights and fine-tuning with a smaller dataset. Still, obtaining large amounts of online handwriting can be difficult for pre-training networks. Therefore, we propose pre-training with data sources with dimensions different from handwriting. Namely, we propose using univariate or multivariate data as a source dataset for two-dimensional target data by embedding out-of-domain time series of different dimensions into two-dimensional space. We evaluated the proposed method with four handwritten character datasets: a numerical digit dataset, an uppercase alphabet dataset, a lowercase alphabet dataset, and a Chinese character dataset. Through the evaluation, we demonstrate that transfer learning from datasets with a different dimensionality as online handwriting is possible.

本文言語英語
ホスト出版物のタイトルPattern Recognition - 27th International Conference, ICPR 2024, Proceedings
編集者Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
出版社Springer Science and Business Media Deutschland GmbH
ページ61-75
ページ数15
ISBN(印刷版)9783031781186
DOI
出版ステータス出版済み - 2025
イベント27th International Conference on Pattern Recognition, ICPR 2024 - Kolkata, インド
継続期間: 12月 1 202412月 5 2024

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
15331 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

会議

会議27th International Conference on Pattern Recognition, ICPR 2024
国/地域インド
CityKolkata
Period12/1/2412/5/24

!!!All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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