Detection and Recognition of Arabic Text in Video Frames

Wataru Ohyama, Seiya Iwata, 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

1 被引用数 (Scopus)

抄録

The authors have developed an end-to-end system for Arabic text recognition in video frames. The end-to-end system consists of the steps for text-line detection, word segmentation and word recognition. In order to achieve high text recognition accuracy we propose a new scheme of integrated text detection-recognition scheme, where the true text-lines are detected with as higher recall rate as possible and the false words in the false lines are rejected in the successive word recognition step. We reported a recognition based transition frame detection of Arabic news captions in single channel video images. In this paper the recognition system is integrated with n-gram language model and extended to text detection/recognition of multi-channel video images. The multi-channel, multi-font performance of the system is experimentally evaluated using AcTiV-D and AcTiV-R dataset. The multi-channel text detection performance for three channels, France24, Russia Today and TunisiaNat1 is 91.29% in (F)-measure. The multi-channel, multi-font character recognition performance for these channels is 94.84% in F-measure.

本文言語英語
ホスト出版物のタイトルProceedings - 6th International Workshop on Multilingual OCR, MOCR 2017
出版社IEEE Computer Society
ページ20-24
ページ数5
ISBN(電子版)9781538635865
DOI
出版ステータス出版済み - 1月 25 2018
イベント6th International Workshop on Multilingual OCR, MOCR 2017 - Kyoto, 日本
継続期間: 11月 11 2017 → …

出版物シリーズ

名前Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
7
ISSN(印刷版)1520-5363

その他

その他6th International Workshop on Multilingual OCR, MOCR 2017
国/地域日本
CityKyoto
Period11/11/17 → …

!!!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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