The FAST feature point′ s detection algorithm and the FREAK feature point′ s description algorithm were combined and applied in image matching, to improve the image recognition performance of the image recognition algorithm in the mobile phone. Due to the constant need for real-time computation of the images obtained by the camera, and the limited hardware capabilities of the mobile phone, the matching algorithm′ s accuracy, speed and efficiency should be emphasized. Referring to the thought of the FAST feature point′ s detection algorithm of the ORB, this paper combined FAST with the FREAK feature point′ s description algorithm to accomplish the function of image matching. And then the matching speed and matching accuracy were compared to those of the ORB algorithm. Experimental results showed that the FREAK algorithm combining the FAST feature points detection algorithm had higher matching speed than the ORB algorithm, and the matching accuracy could basically meet with the demand of image matching in paper printing. In terms of image recognition and matching using mobile phone, the research of this paper could improve the speed of the matching algorithm on the basis of satisfying the accuracy of image recognition.