Abstract
The paper describes a texture-based fast text location scheme which operates directly in the Discrete Wavelet Transform (DWT) domain. By the distinguishing texture characteristics encoded in wavelet transform domain, the text is fast detected from complex background images stored in the compressed format such as JPEG2000 without full decompress. Compared with some traditional character location methods, the proposed scheme has the advantages of low computational cost, robust to size and font of characters and high accuracy. Preliminary experimental results show that the proposed scheme is efficient and effective.
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Supported by the National Natural Science Foundation of China(No.60402036) and the Natural Science Foundation of Beijing(No.4042008).
Communication author: Li Xiaohua, born in 1973, female, Ph.D. Signal & Information Processing Lab., Beijing University of Technology, Beijing 100022, China.
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Li, X., Shen, L. Fast text location based on discrete wavelet transform. J. of Electron.(China) 22, 385–394 (2005). https://doi.org/10.1007/BF02687926
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DOI: https://doi.org/10.1007/BF02687926