A contourbased corner detector using multiscale Gabor filters is proposed, which improves the selection of scale in different images. Firstly, the edge contours are extracted by Canny detector. Secondly, a set of Gabor filters including four scales and eight directions are constructed to smooth the input image, and then compute the sum of the normalized magnitude responses at each direction. Thirdly, at each edge pixel, the product of the normalized sum at all scale is defined as corner measure. When the corner measure is above a previously specified threshold, this contour pixel will be labeled as a corner. Finally, the proposed corner detector is compared with three classic corner detectors including Harris detector, CPDA detector and He &Yung detector. The results show that the proposed detector has the better consequence in detection accuracy, localization accuracy and noiserobustness.