Paper Title:
Character Detection and String Identification on a Signboard in Scene Image Based on Criterions of Segmented Images
  Abstract

In this paper, a method which specifies the signboard region and extracts the charactersinside 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 soas to input texts froma picture.Most of signboards are composed of almostmonochromatic region. Onthe basis of this observation, image segmentation using color information is applied, and then we getsome binary images by applying threshold for each segmented region. Each binary image is enclosedby the smallest circumscribed square. The signboard region is specified according to distribution andarea of the white pixels inside the square. As a result of experiment, we confirmed the effectivenessof the proposed method.

  Info
Periodical
Edited by
Qiancheng Zhao
Pages
658-666
DOI
10.4028/www.scientific.net/AMM.103.658
Citation
H. Kawano, H. Orii, H. Maeda, "Character Detection and String Identification on a Signboard in Scene Image Based on Criterions of Segmented Images", Applied Mechanics and Materials, Vol. 103, pp. 658-666, 2012
Online since
September 2011
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