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Abstract: The tyre marking points play an important role in the tyre classification. However,#br# manual recognition is laborious and is easily influenced by physiological factors. A method of#br# shape recognition of tyre marking points based on Support Vector Machine(SVM) is proposed in#br# this paper. Firstly, the image of tyre marking points will be denoised by median filter and#br# segmented based on the gray level histogram. Then the edge of tyre marking points will be#br# detected by Canny algorithm, and the detected edge will be represented by Fourier transform.#br# Lastly, those Fourier coefficients will be used as input to SVM classifier for distinguishing shapes#br# of tyre marking points. The experimental results show that the proposed method can achieve high#br# correct shape recognition rate and improve the efficiency of recognition of tyre marking points.#br# Key words: support vector machine; tyre marking points; Fourier descriptors; shape#br# recognition