Recognition of Japanese historical hand-written characters based on object detection methods

Yiping Tang; Kohei Hatano; Eiji Takimoto

doi:10.1145/3352631.3352642

Recognition of Japanese historical hand-written characters based on object detection methods

Yiping Tang, Kohei Hatano, Eiji Takimoto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We consider the recognition problem of Japanese historical handwritten characters called “Kuzushiji”. Unlike modern characters, Kuzushiji characters are harder to recognize partly because many of them are connected and not separated by spaces without any segmentation information. We propose two methods for segmentation and recognition of Kuzushiji characters. The first method learns segmentation rules and character classifiers simultaneously from data sets with character labels and segmentation information. Second method is for segmentation and can be used with any single character recognizer. Our methods outperform other baselines and achieve the state-of-the-art accuracy on both segmentation and recognition tasks on data sets of three consecutive Kuzushiji characters.

Original language	English
Title of host publication	Proceedings of the 2019 Workshop on Historical Document Imaging and Processing, HIP 2019
Publisher	Association for Computing Machinery
Pages	72-77
Number of pages	6
ISBN (Electronic)	9781450376686
DOIs	https://doi.org/10.1145/3352631.3352642
Publication status	Published - Sep 20 2019
Event	5th International Workshop on Historical Document Imaging and Processing, HIP 2019, held in conjunction with ICDAR 2019 - Sydney, Australia Duration: Sep 20 2019 → Sep 21 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	5th International Workshop on Historical Document Imaging and Processing, HIP 2019, held in conjunction with ICDAR 2019
Country	Australia
City	Sydney
Period	9/20/19 → 9/21/19

All Science Journal Classification (ASJC) codes

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3352631.3352642

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Cite this

Tang, Y., Hatano, K., & Takimoto, E. (2019). Recognition of Japanese historical hand-written characters based on object detection methods. In Proceedings of the 2019 Workshop on Historical Document Imaging and Processing, HIP 2019 (pp. 72-77). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3352631.3352642

Recognition of Japanese historical hand-written characters based on object detection methods. / Tang, Yiping; Hatano, Kohei ; Takimoto, Eiji.

Proceedings of the 2019 Workshop on Historical Document Imaging and Processing, HIP 2019. Association for Computing Machinery, 2019. p. 72-77 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tang, Y, Hatano, K & Takimoto, E 2019, Recognition of Japanese historical hand-written characters based on object detection methods. in Proceedings of the 2019 Workshop on Historical Document Imaging and Processing, HIP 2019. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 72-77, 5th International Workshop on Historical Document Imaging and Processing, HIP 2019, held in conjunction with ICDAR 2019, Sydney, Australia, 9/20/19. https://doi.org/10.1145/3352631.3352642

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