Improving Thai Optical Character Recognition Using Circular-Scan Histogram

Natsuda Kaothanthong, Thanaruk Theeramunkong, Jinhee Chun

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

While most previous works focus on invariant features that capture salient for higher recognition accuracy, they face an issue of misclassification among similar characters. This paper proposes a feature called circular-scan histogram that enables us to capture small salient parts of the Thai characters. With scanning distances, the distance from the edge to the first pixel on the character's boundary, a circular-scan histogram is constructed by rotating the characters during scanning, and counting frequency of each distance bin. By experiments, using approximately 60,000 single-character images of forty four Thai consonant characters with balance distribution, our proposed method can classify similar characters with accuracy of 95.72%. As baselines, we compare our method with Shape Context and Histogram of Oriented Gradient.

本文言語English
ホスト出版物のタイトルProceedings - 14th IAPR International Conference on Document Analysis and Recognition, ICDAR 2017
出版社IEEE Computer Society
ページ567-572
ページ数6
ISBN(電子版)9781538635865
DOI
出版ステータスPublished - 2017 7月 2
外部発表はい
イベント14th IAPR International Conference on Document Analysis and Recognition, ICDAR 2017 - Kyoto, Japan
継続期間: 2017 11月 92017 11月 15

出版物シリーズ

名前Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
1
ISSN(印刷版)1520-5363

Other

Other14th IAPR International Conference on Document Analysis and Recognition, ICDAR 2017
国/地域Japan
CityKyoto
Period17/11/917/11/15

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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