@inproceedings{38395cc346474548ad684a319ce41c92,
title = "Text detection based on wavelet transform",
abstract = "In this paper, an algorithm is proposed which can automatically detect text embedded in images and video frames in different sizes, fonts and colors.It is performed by these steps: Firstly, it performed wavelet transform in different color channels; Secondly, a sliding window is moved over the transformed images, estimate feature vector of each window; then the k-means algorithm is chosen to classify the image into text candidates and background. Finally, the detected text candidates undergo the connected-component-based analysis to refine their location.",
keywords = "Feature vector, K-means, Text detecting, Wavelet transform",
author = "Jie He and Fei Gao and Qing Nie",
year = "2008",
doi = "10.1049/cp:20080765",
language = "English",
isbn = "9780863419218",
series = "IET Conference Publications",
number = "544 CP",
pages = "82--84",
booktitle = "China-Ireland International Conference on Information and Communications Technologies, CIICT 2008",
edition = "544 CP",
note = "China-Ireland International Conference on Information and Communications Technologies, CIICT 2008 ; Conference date: 26-09-2008 Through 28-09-2008",
}