Enhancing russian handwriting recognition VIA transfer learning and data augmentation with VGG-BiLSTM-CTC
Bibliographic entry
Liu, J. Enhancing russian handwriting recognition VIA transfer learning and data augmentation with VGG-BiLSTM-CTC / J. Liu, Z. Dang, S. Xiong // Новые горизонты – 2025 : сборник материалов XII Белорусско-китайского молодежного инновационного форума, 27–28 ноября 2025 года / Белорусский национальный технический университет. – Минск : БНТУ, 2025. – Т. 1. – С. 91-92.
Abstract
The VGG-BiLSTM-CTC model has succeeded in many languages, yet Russian handwriting recognition is understudied despite its demand. This research adapts the model to Russian through transfer learning to address this gap.