An efficient corner type classification method derived from the general Harris corner detector is presented. The key idea is using the property that the gradient magnitudes of two isophotes in a second-order corner are the same but those in higher-order corners are different. A computational framework for post corner type classification led by the general Harris corner detector is devised. It can be implemented with a few additional computations.