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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.09586 |
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| _version_ | 1866911376253911040 |
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| author | Yasin, Said Zesch, Torsten |
| author_facet | Yasin, Said Zesch, Torsten |
| contents | Handwriting remains an essential skill, particularly in education. Therefore, providing visual feedback on handwritten documents is an important but understudied area. We outline the many challenges when going from an image of handwritten input to correctly placed informative error feedback. We empirically compare modular and end-to-end systems and find that both approaches currently do not achieve acceptable overall quality. We identify the major challenges and outline an agenda for future research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_09586 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Show, don't tell -- Providing Visual Error Feedback for Handwritten Documents Yasin, Said Zesch, Torsten Computer Vision and Pattern Recognition Computation and Language Handwriting remains an essential skill, particularly in education. Therefore, providing visual feedback on handwritten documents is an important but understudied area. We outline the many challenges when going from an image of handwritten input to correctly placed informative error feedback. We empirically compare modular and end-to-end systems and find that both approaches currently do not achieve acceptable overall quality. We identify the major challenges and outline an agenda for future research. |
| title | Show, don't tell -- Providing Visual Error Feedback for Handwritten Documents |
| topic | Computer Vision and Pattern Recognition Computation and Language |
| url | https://arxiv.org/abs/2601.09586 |