Artificial neural network based sinhala character recognition

H. Waruna H Premachandra, Chinthaka Premachandra, Tomotaka Kimura, Hiroharu Kawanaka

研究成果: Conference contribution

抄録

Sinhala is the main language spoken by the majority of the population of Sri Lanka. There is a clear need for an optical character recognition (OCR) system for the Sinhala language. However, the language contains very similar characters, which makes it very difficult to distinguish them except on feature analysis. The character recognition rates of previous systems proposed for Sinhala character recognition are low, and so further improvement is needed. Consequently, in this paper, we propose a new Sinhala character recognition method that uses character geometry features and artificial neural network (ANN). The results of experiments conducted using various documentary images of the Sinhala language indicate that the proposed method has better character recognition performance than conventional methods.

本文言語English
ホスト出版物のタイトルComputer Vision and Graphics - International Conference, ICCVG 2016, Proceedings
出版社Springer Verlag
ページ594-603
ページ数10
9972 LNCS
ISBN(印刷版)9783319464176
DOI
出版ステータスPublished - 2016
イベントInternational Conference on Computer Vision and Graphics, ICCVG 2016 - Warsaw, Poland
継続期間: 2016 9 192016 9 21

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9972 LNCS
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

OtherInternational Conference on Computer Vision and Graphics, ICCVG 2016
国/地域Poland
CityWarsaw
Period16/9/1916/9/21

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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