Railway fasteners are key components of railway tracks

and their condition directly determines the safety of the trains passing over them.A railway fastener state detection algorithm for railway digital image acquired by high-speed scan camera is presented.Using the SIFT feature extraction algorithm to extract local features of each fastener image

the SIFT features extracted by each fastener image is normalized to Fisher vector with the same longer.Use the LIBLINEAR classifier to classify Fisher vector

to realize state detection of railway fastener image.Experimental results show that the proposed algorithm has a higher recognition rate and robustness.