Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2 Autonomous Text Capturing Robot Using Improved DCT Feature and Text Tracking Curitiba, Parana, Brazil September 23-September 26 ISBN: 0-7695-2822-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.71
When an autonomous robot tries to find text in the sur- rounding scene using an onboard video camera, some du- plicate text images appear in the video frames. To avoid recognizing the same text many times, it is necessary to de- crease the number of text candidate regions for recognition. This paper presents a text capturing robot that can look around the environment using an active camera. The text candidate regions are extracted from the images using an improved DCT feature. The text regions are tracked in the video sequence so that the number of text images to be rec- ognized is reduced. In the experiment, we tested 460 images of a corridor with fifteen signboards including text. The number of text candidate regions is reduced by 90.1% using our text tracking method.
Citation:
M. Tanaka, H. Goto, "Autonomous Text Capturing Robot Using Improved DCT Feature and Text Tracking," icdar, vol. 2, pp.1178-1182, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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