With a growing emphasis on human identification, iris recognition has recently received increasing attention. This paper presents an algorithm focusing on the segmentation and feature extraction. The novelty of this algorithm includes, the Statistical methods and morphological operations are used for the segmentation process. The phase data form Contourlet transform is extracted and encoded efficiently to produce a proper feature vector. Experimental tests were performed that the proposed method can be used for human identification in efficient manner.