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Corner points are interesting as they are formed from two or more edges and edges usually define the boundary between two different objects or parts of the same objects. In this paper we discuss the theory of the Harris corner detection and point out its disadvantage. Then it proposes an adaptive algorithm for Harris corner detection based on the neighboring point eliminating method. It reduces the amount of the calculation, and makes the corners distributing well-proportion so that avoids too many corners stay together. Experimental results show that the algorithm can detect corners more uniform distribution, and can be used in some fact applications such as image registration well.