Iris recognition system

The iris recognition system utilizes image processing and computer vision in order to identify human beings. Most effective algorithms are employed to gather suitable patterns from an iris image. Then, mathematical analysis is carried out for collecting required features using efficient image enhancement techniques and feature extraction methodologies. The extracted features through six different schemes are compared exhaustively for matching with the iris images of individuals already stored in the database. The low cost of development of the proposed iris recognition system encourages its application in majority of the organizations and establishments. The experimental work presented in this book provides detailed and critical analysis using three experiments. Various components of the developed system operate accurately and give an excellent performance in terms of iris recognition accuracy.

Autorentext

Dr Muhammad Younus Javed completed BE Elect Engg from UET Lahore in 1982, MS & PhD from the University of Dundee, UK in 1988 & 1991 respectively. He received ORS Award from UK on his research work. He is serving in NUST, Pakistan since 1991 and is currently Dean of Engineering at NUST College of E&ME. He has 221 research publications to his credit