Abstract: Constructing effective indexes for images with high-dimensional features is essential for the efficient retrieval of large scale of images.Motivated by the structure properties of the image features,structured sparse principal component analysis is introduced into traditional spectral hashing to boost image retrieval,which is called structured sparse spectral hashing(S³H).S³H is not only similarity preserving but also structure preserving.Experimental results demonstrate that S³H outperforms other algorithms.