Text Area Localization under Complex-Background Using Wavelet Decomposition

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Venue:
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Year:
2001

Citing 0
Cited 2

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Abstract

Abstract: In this paper, we propose a novel approach to determine the positions of text areas in images with complex-background using wavelet decomposition and pseudo-motion of images. In our method, a 拢xed image is translated and provides a sequence of moving images-the pseudo-motion sequence of image. In fact, we can consider the translation of an image to be a motion of eyeshot. When an image is translated, its wavelet coef拢cients will oscillate. From this property, we can locate the text areas in complex-background images. Experiments were conducted to demonstrate the performance of the method. In the experiments, we detect the text areas of several different type of characters in images with multi-gray level complex back-ground.