Efficient estimation of character normal direction for Camera-based OCR

Kanta Kuramoto, Wataru Oyama, Tetsushi Wakabayashi, Fumitaka Kimura

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

Handling characters the appearances of which are affected by three-dimensional (3D) rotation is a major challenge in Camera-Based Optical Character Recognition. Proper handling of these 3D rotated characters is expected to improve the performance of both detection and recognition of camera-captured characters. In this paper, we propose an efficient implementation of 3D rotation estimation for camera-captured characters. The proposed implementation requires small memory load and short computational time. We employ Linear Discriminant Function (LDF) instead of Modified Quadratic Discriminant Function (MQDF) for further memory reduction. The results of experimental evaluation using a large-scale alphanumeric character dataset showed that small number of dimensionality of original feature vector is sufficient for keeping accuracy of 3D rotation estimation and total amount of memory required for 3D rotation estimation is reduced from 141.0 MB to 6.6 MB. Moreover, we propose probabilistic rotation angle estimation and achieved improvement of estimation accuracy without increase of memory size.

本文言語英語
ホスト出版物のタイトル13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings
出版社IEEE Computer Society
ページ371-375
ページ数5
ISBN(電子版)9781479918058
DOI
出版ステータス出版済み - 11月 20 2015
イベント13th International Conference on Document Analysis and Recognition, ICDAR 2015 - Nancy, フランス
継続期間: 8月 23 20158月 26 2015

出版物シリーズ

名前Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
2015-November
ISSN(印刷版)1520-5363

その他

その他13th International Conference on Document Analysis and Recognition, ICDAR 2015
国/地域フランス
CityNancy
Period8/23/158/26/15

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識

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