Text information acquisition method of traffic signs for autonomous navigation

This paper deals with the tilt compensation and resolution compensation as the process for efficient recognizing text information on traffic signs of Korea. OCR(Optical Character Recognition), overall processing process for solving structural limit of Template Matching was suggested, and the compensation on tilt was conducted through Hough line and trigonometry. And, resolution compensation for damaged pixels and enhancing image quality of low definition image was settled through FFT(Fast Fourier Transform).