Abstract: Iris recognition plays a significant role in human identification. It is an automated method of biometric identification. In literature, for the purpose of iris recognition Canny edge detection method is used. In certain other cases canny edge detector is combined with various other techniques such as Hough transform, Circular Hough transform and so on. In above mentioned cases, the system accuracy was comparatively less and noise is more. Due to above drawbacks, a new edge detection method based on fuzzy interference logic is used in the proposed work. In the proposed work the data gathered from iris is stored in the iris database and then these datas are used as input for the purpose of iris recognition. Initially input data are resized to certain value and are then edge detected using fuzzy interference logic algorithm and then features are extracted and are used for the purpose of matching. If a particular person found to be recognized then the person is allowed to enter into the city. In Smart city the person will be provided services by finding the user location. Smart service includes providing user necessary heat, ventilation and Air Condition based upon the requirement of the user. As Iris dataset is provide instead of finger print data it gives high degree of accuracy with less cost.