Identification of Human Iris using Discrete Haar Wavelet Transform

Abstract

Image recognition is one of the fields of Artificial Intelligence. Nowadays, Image recognition is affecting not only corporations using it within an economic interest but also the average user who uses a digital camera. This process can be done with a variety of tools but most of the time these are too complicated for the inexperienced user to handle. We applied the Haar Wavelet in order to extract the deterministic patterns in a person’s iris in the form of a feature vector for personal identification. These are three basic steps in our system such as image preprocessing, feature extraction and recognition. By comparing the quantized vectors using the Hamming Distance operator, we determine finally whether two irises are similar. Our results show that our system is quite effective.. Our system intent to help for security to identify the person based on human’s iris.