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Image recognition is being studies as a hot topic research in pattern recognition. The performance of previously used Principal Components Analysis (PCA) method is highly dependent on the image capture conditions and it is easily affected by variations in lighting conditions, differences in pose, and image quality and so on. So before extracting features we can preprocess image to improve the image recognition rate. This paper introduces some preprocessing methods in image recognition. Firstly, we present an overview of image recognition and its applications. Then several methods of image preprocessing are introduced and at last conclusion are given.