Image retrieval in digital library based on symmetry detection

We present a technique of content-based image retrieval based on the symmetric property of an image and its generalized complex moments. We propose a novel symmetry detection algorithm that is both fast and general compared with existing symmetry detection algorithms. Given the sensitivity of human perception to symmetry, the use of symmetry class helps to ensure that the retrieved images are visually similar. Experimental results show that these features are effective in retrieving binary images and our similarity function is able to rank them first place for nearly all the sample queries used in our experiment.