Improving accuracy of printed character recognition using hexagonal zoning of directional histogram feature

Wataru Oyama; Akihito Yamamoto; Tetsushi Wakabayashi; Fumitaka Kimura

doi:10.1109/ICPR.2014.466

Improving accuracy of printed character recognition using hexagonal zoning of directional histogram feature

Wataru Oyama, Akihito Yamamoto, Tetsushi Wakabayashi, Fumitaka Kimura

Real world robotics

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

1 Citation (Scopus)

Abstract

Accurate character recognition is still very important for camera based printed document analysis. Due to its inherent conceptual and technical simplicity, conventional recognition strategies relied on features extracted using square block zoning of a character image. In this paper, we propose an isotropic feature extraction method using regular hexagonal zoning and confirm its effectiveness by printed character recognition experiments. A 2% improvement in accuracy was achieved in experiments using gradient features. And the effectiveness of hexagonal zoning for recognition of high stroke count characters and low-resolution characters is confirmed by the experiments.

Original language	English
Title of host publication	Proceedings - International Conference on Pattern Recognition
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2697-2702
Number of pages	6
ISBN (Electronic)	9781479952083
DOIs	https://doi.org/10.1109/ICPR.2014.466
Publication status	Published - Dec 4 2014
Event	22nd International Conference on Pattern Recognition, ICPR 2014 - Stockholm, Sweden Duration: Aug 24 2014 → Aug 28 2014

Publication series

Name	Proceedings - International Conference on Pattern Recognition
ISSN (Print)	1051-4651

Other

Other	22nd International Conference on Pattern Recognition, ICPR 2014
Country	Sweden
City	Stockholm
Period	8/24/14 → 8/28/14

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICPR.2014.466

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Oyama, W., Yamamoto, A., Wakabayashi, T., & Kimura, F. (2014). Improving accuracy of printed character recognition using hexagonal zoning of directional histogram feature. In Proceedings - International Conference on Pattern Recognition (pp. 2697-2702). [6977178] (Proceedings - International Conference on Pattern Recognition). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.2014.466

Improving accuracy of printed character recognition using hexagonal zoning of directional histogram feature. / Oyama, Wataru; Yamamoto, Akihito; Wakabayashi, Tetsushi; Kimura, Fumitaka.

Proceedings - International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2697-2702 6977178 (Proceedings - International Conference on Pattern Recognition).

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

Oyama, W, Yamamoto, A, Wakabayashi, T & Kimura, F 2014, Improving accuracy of printed character recognition using hexagonal zoning of directional histogram feature. in Proceedings - International Conference on Pattern Recognition., 6977178, Proceedings - International Conference on Pattern Recognition, Institute of Electrical and Electronics Engineers Inc., pp. 2697-2702, 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, 8/24/14. https://doi.org/10.1109/ICPR.2014.466

Oyama W, Yamamoto A, Wakabayashi T, Kimura F. Improving accuracy of printed character recognition using hexagonal zoning of directional histogram feature. In Proceedings - International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc. 2014. p. 2697-2702. 6977178. (Proceedings - International Conference on Pattern Recognition). https://doi.org/10.1109/ICPR.2014.466

Oyama, Wataru ; Yamamoto, Akihito ; Wakabayashi, Tetsushi ; Kimura, Fumitaka. / Improving accuracy of printed character recognition using hexagonal zoning of directional histogram feature. Proceedings - International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 2697-2702 (Proceedings - International Conference on Pattern Recognition).

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