@inproceedings{029652b665064bab9322278bf9857685,
title = "Text feature extraction of natural scenes using Gabor wavelet transformation based on scale overlapping",
abstract = "The features of scene text images determine the scene text low-quality. Existing method can not handle the issue. A method is proposed in the paper which makes use the frequency and direction selectivity of Gabor function and constructs a suitable wavelet transform to extract the feature of characters. And further the improved Gabor wavelet based on scale overlapping is proposed. The scale overlap reinforces the selection of Gabor filters to strokes width. Thus, a high robustness feature is obtained. The experiments show that the method is with good performance and is able to deal effectively with low-quality texts.",
keywords = "Feature extraction, Gabor wavelet transform, Low-quality text, Scale overlapping",
author = "Fang Yin and Deyun Chen and Rui Wu",
year = "2011",
doi = "10.1109/IFOST.2011.6021203",
language = "英语",
isbn = "9781457703966",
series = "Proceedings of the 6th International Forum on Strategic Technology, IFOST 2011",
pages = "1062--1064",
booktitle = "Proceedings of the 6th International Forum on Strategic Technology, IFOST 2011",
note = "6th International Forum on Strategic Technology, IFOST 2011 ; Conference date: 22-08-2011 Through 24-08-2011",
}