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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2504.14913 |
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| _version_ | 1866915251808632832 |
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| author | Iwata, Kenji Ishidera, Eiki Yamaai, Toshifumi Satoh, Yutaka Tanaka, Hiroshi Takahashi, Katsuhiko Furuhata, Akio Tanabe, Yoshihisa Matsumura, Hiroshi |
| author_facet | Iwata, Kenji Ishidera, Eiki Yamaai, Toshifumi Satoh, Yutaka Tanaka, Hiroshi Takahashi, Katsuhiko Furuhata, Akio Tanabe, Yoshihisa Matsumura, Hiroshi |
| contents | The performance of OCR has improved with the evolution of AI technology. As OCR continues to broaden its range of applications, the increased likelihood of interference introduced by various usage environments can prevent it from achieving its inherent performance. This results in reduced recognition accuracy under certain conditions, and makes the quality control of recognition devices more challenging. Therefore, to ensure that users can properly utilize OCR, we compiled the real-world external disturbance factors that cause performance degradation, along with the resulting image degradation phenomena, into an external disturbance factor table and, by also indicating how to make use of it, organized them into guidelines. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_14913 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Guidelines for External Disturbance Factors in the Use of OCR in Real-World Environments Iwata, Kenji Ishidera, Eiki Yamaai, Toshifumi Satoh, Yutaka Tanaka, Hiroshi Takahashi, Katsuhiko Furuhata, Akio Tanabe, Yoshihisa Matsumura, Hiroshi Computer Vision and Pattern Recognition Artificial Intelligence I.5.2; I.5.m The performance of OCR has improved with the evolution of AI technology. As OCR continues to broaden its range of applications, the increased likelihood of interference introduced by various usage environments can prevent it from achieving its inherent performance. This results in reduced recognition accuracy under certain conditions, and makes the quality control of recognition devices more challenging. Therefore, to ensure that users can properly utilize OCR, we compiled the real-world external disturbance factors that cause performance degradation, along with the resulting image degradation phenomena, into an external disturbance factor table and, by also indicating how to make use of it, organized them into guidelines. |
| title | Guidelines for External Disturbance Factors in the Use of OCR in Real-World Environments |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence I.5.2; I.5.m |
| url | https://arxiv.org/abs/2504.14913 |