文献の詳細

論文の言語	英語
著者	Rina Buoy, Masakazu Iwamura, Sovila Srun, Koichi Kise
論文名	Language-Aware Non-Autoregressive Khmer Textline Recognition Using Khmer Subword Model
論文誌名	Proc. International Conference on Pattern Recognition and Artificial Intelligence
ページ数	16 pages
発表場所	Jeju, Korea
査読の有無	有
発表の種類	口頭発表
年月	2024年7月
要約	Unlike the Latin script, Khmer does not use spaces between words, leading to text recognition typically being done at the textline level. This can involve a vast number of characters and results in high latency for a language-aware autoregressive (AR) decoder that generates one character at a time. On the other hand, a non-autoregressive (NAR) decoder generates all characters in parallel, but it is not language-aware. In this paper, we introduce an efficient Khmer textline recognition method based on a NAR decoder, ensuring low decoding latency while maintaining linguistic awareness. This is achieved by utilizing a Khmer-specific subword modeling called Khmer character clusters (KCC) that capture the syntactic, morphological, and orthographic aspects of the Khmer script. Therefore, instead of conventional character-level recognition, the proposed method recognizes all character clusters or subwords in parallel. The experimental results demonstrate that the proposed method outperforms the character-level baseline NAR model in terms of recognition accuracy while maintaining the same low latency. When compared with the character-level baseline AR model, the proposed method achieves comparable or improved recognition accuracy while also achieving significantly lower latency. When compared with the recent state-of-the-art (SOTA) NAR and AR Khmer text recognition methods, our proposed method achieves superior recognition performance.

• BibTeX用エントリー

  @InProceedings{Buoy2024,
    author =	{Rina Buoy and Masakazu Iwamura and Sovila Srun and Koichi Kise},
    title =	{Language-Aware Non-Autoregressive Khmer Textline Recognition Using Khmer Subword Model},
    booktitle =	{Proc. International Conference on Pattern Recognition and Artificial Intelligence},
    year =	2024,
    month =	jul,
    numpages =	{16},
    location =	{Jeju, Korea}
  }
  
  
  

一覧に戻る