Paper Abstract and Keywords |
Presentation |
2022-03-10 15:50
Visual Constraints for Generating Multi-domain Offline Handwritten Mathematical Expressions Huy Quang Ung, Hung Tuan Nguyen, Cuong Tuan Nguyen (Tokyo Univ. Agri. & Tech.), Tsunenori Ishioka (The National Cen. for Univ. Entrance Exam.), Masaki Nakagawa (Tokyo Univ. Agri. & Tech.) PRMU2021-69 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Offline Handwritten Mathematical Expression (HME) recognition has been intensively studied for two decades. However, most studies have worked on rendered images of online HMEs (Rendered Domain, or RD in short), but not on optically scanned HME images (Optical Domain, or OD in short). Due to a large gap between these two domains, it is challenging to use an HME recognizer trained in RD to recognize patterns in OD. To utilize a recognizer of RD in recognizing OD patterns, we propose a visual constrained CycleGAN (CCycleGAN) model to generate synthetic OD patterns from RD patterns and vice versa. For the RD-to-OD direction, we train a new recognizer of OD using the synthetic patterns. For the OD-to-RD direction, we utilize a pre-trained HME recognizer of RD to recognize the synthetic RD patterns generated from the OD patterns. Our experiments show that the CCycleGAN model performs significantly better than the CycleGAN model in terms of recognition accuracy. The recognition results demonstrate the effectiveness of our method in recognizing OD patterns using labeled RD patterns and unlabeled OD patterns for training. In addition, our CCycleGAN can well perform even when using only 100 training patterns in OD. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Offline / Handwritten mathematical expression / CycleGAN / Generation / Visual losses / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 427, PRMU2021-69, pp. 54-59, March 2022. |
Paper # |
PRMU2021-69 |
Date of Issue |
2022-03-03 (PRMU) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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PRMU2021-69 |
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