Character Detection and String Identification on a Signboard in Scene Image Based on Criterions of Segmented Images
In this paper, a method which specifies the signboard region and extracts the characters inside the signboard is proposed. We usually take notes not to forget what we should leave to memory. But it is often that the task is too troublesome. Our aim is the development of a new input-interface so as to input texts from a picture. Most of signboards are composed of almost monochromatic region. On the basis of this observation, image segmentation using color information is applied, and then we get some binary images by applying threshold for each segmented region. Each binary image is enclosed by the smallest circumscribed square. The signboard region is specified according to distribution and area of the white pixels inside the square. As a result of experiment, we confirmed the effectiveness of the proposed method.
scene image character detection image segmentation clustering signboard
Hideaki Kawano Hideaki Orii Hiroshi Maeda
Kyushu Institute of Technology, 1-1 Seunsui-cho, Tobata-ku, Kitakyushu 804-8550Japan Kyushu Institute of Technology, 1-1 Seunsui-cho, Tobata-ku, Kitakyushu 804-8550 Japan
国际会议
湘潭
英文
658-666
2011-07-19（万方平台首次上网日期，不代表论文的发表时间）