Conference Paper

Extraction of Text under Complex Background Using Wavelet Transform and Support Vector Machine

Inst. of Artificial Intelligence & Robotics, Northeastern Univ., Shenyang
DOI: 10.1109/ICMA.2006.257850 Conference: Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Source: IEEE Xplore


A method based on wavelet transform and support vector machine (SVM) for detecting text under complex background is proposed. First, the image is decomposed by wavelet, and then the texture characteristic of text is extracted by using SVM on low-frequency approximate sub-space and high-frequency energy sub-space. Combining wavelet transform and SVM not only reduces the number of input training samples but also accelerates the speed of SVM for learning and classification. This method utilizes the characteristic that SVM is suited to high-dimension space work and improves the efficiency of extracting text. Experimental results show that the current proposed method can correctly and effectively locate text region in the digital image

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