Text Extraction Algorithm in Natural Image using LoG Operator and Coiflet Wavelet

Coiflet Wavelet과 LoG 연산자를 이용한 자연이미지에서의 텍스트 검출 알고리즘

  • Shin, Seong (Department of Electronic Engineering, Wonkwang University) ;
  • Baek, Young-Hyun (Department of Electronic Engineering, Wonkwang University) ;
  • Moon, Sung-Ryong (Department of Electronic Engineering, Wonkwang University) ;
  • Shin, Hong-Kyu (Department of Electronic Engineering, Wonkwang University)
  • 신성 (원광대학교 전자공학과) ;
  • 백영현 (원광대학교 전자공학과) ;
  • 문성룡 (원광대학교 전자공학과) ;
  • 신홍규 (원광대학교 전자공학과)
  • Published : 2005.11.26

Abstract

This paper is to be pre-processing that decides the text recognizability and quality contained in natural image. Differentiated with the existing studies, In this paper, it suggests the application of partially unified color models, Coiflet Wavelet and text extraction algorithm that uses the closed curve edge features of LoG (laplacian of gaussian)operator. The text image included in natural image such as signboard has the same hue, saturation and value, and there is a certain thickness as for their feature. Each color element is restructured into closed area by LoG operator, the 2nd differential operator. The text area is contracted by Hough Transform, logical AND-OR operator of each color model and Minimum-Distance classifier. This paper targets natural image into which text area is added regardless of the size and resolution of the image, and it is confirmed to have more excellent performance than other algorithms with many restrictions.

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