Fast and accurate tree-based clustering for Japanese/Chinese character recognition

Yuichi Abe, Takahiro Sasaki, Hideaki Goto

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Recognizing text in natural scene images is very important to develop various systems such as an assistant device for visually-impaired people. Multilingual scene text recognition is also becoming important for wearable camera devices with language translation feature. Since computational resources are limited on such mobile devices, fast and accurate Optical Character Recognition (OCR) algorithm is needed. Nearest Neighbor (NN) search is quite popular in feature vector-based OCR systems, and its speed improvement is required. In this paper, we develop an OCR scheme with tree-based clustering technique with LDA (Linear Discriminant Analysis) aiming at real-time Japanese/Chinese character recognition. The experimental results using ETL9B dataset show that our proposed method is 94.6% faster than our previous method, also beating other techniques, at mere 0.24% accuracy drop from the full linear search.

本文言語English
ホスト出版物のタイトルImage Analysis and Processing, ICIAP 2013 - 17th International Conference, Proceedings
ページ459-468
ページ数10
PART 2
DOI
出版ステータスPublished - 2013 10 3
イベント17th International Conference on Image Analysis and Processing, ICIAP 2013 - Naples, Italy
継続期間: 2013 9 92013 9 13

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)
番号PART 2
8157 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other17th International Conference on Image Analysis and Processing, ICIAP 2013
CountryItaly
CityNaples
Period13/9/913/9/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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