Iris liveness detection is a necessary module for iris recognition because iris recognition systems are easily attacked by fake irises.This paper proposes to prevent fake irises using iris images at 860 nm and 480 nm wavelengths.According to spectral characteristics of human eyes

relative number of conjunctival vessels (RNCV) and entropy ratio of iris textures (ERIT) are extracted.The final detection results are output after the trained support vector machine (SVM) is used to classify these feature vectors.Experimental results on the constructed fake iris database show that our algorithm can effectively exclude printed images

artificial eyes and colored contact lenses and the execution time can meet the requirements of the real-time applications.