Japanese / English


論文の言語 英語
著者 Sheraz Ahmed, Koichi Kise, Masakazu Iwamura, Marcus Liwicki, and Andreas Dengel
論文名 Automatic Ground Truth Generation of Camera Captured Documents Using Document Image Retrieval
論文誌名 Proc. 12th International Conference on Document Analysis and Recognition (ICDAR 2013)
ページ pp.528-532
発表場所 Washington, DC, USA
発表の種類 口頭発表
年月 2013年8月
要約 In this paper a novel method for automatic ground truth generation of camera captured document images is proposed. Currently, no dataset is available for camera captured documents. It is very difficult to build these datasets manually, as it is very laborious and costly. The proposed method is fully automatic, allowing building the very large scale (i.e., millions of images) labeled camera captured documents dataset, without any human intervention. Evaluation of samples generated by the proposed approach shows that 99.98% of the images are correctly labeled. Novelty of the proposed approach lies in the use of document image retrieval for automatic labeling, especially for camera captured documents, which contain different distortions specific to camera, e.g., blur, occlusion, perspective distortion, etc.
DOI 10.1109/ICDAR.2013.111