The density induced support vector data description(DISVDD) is proposed to improve the recognition rate of
one-class classifier by introducing the structure of the given data. Based on SVDD, DISVDD ensures that the learn ability
of data domain having higher density structure is enhanced. Meanwhile, the learn ability of data domain having lower
density structure is weakened. Consequently, DISVDD has better domain margin and gets higher recognition rate without
the increase of computation load. Experiments with various real datasets show better promising results.