Iris Recognition: An Emerging Biometric Technology

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Iris recognition

Iris Recognition System

Iris Recognition Based on Neural Networks

Phase-Based Iris Identification

Moving Average Filter Iris Recognition

Iris Identification Based on 2D Wavelet

DCT-Based Iris Recognition

Hybrid Iris Recognition

LBP Iris Recognition

Iris Recognition Based on Genetic Algorithms

One-to-One Iris Recognition System

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Neural Networks .It

Genetic Algorithms .It

Face Recognition .It

Biometrics refers to the identification and verification of human identity based on certain physiological traits of a person. The commonly used biometric features include speech, fingerprint, face, handwriting, gait, hand geometry etc. The face and speech techniques have been used for over 25 years, while iris method is a newly emergent technique. The iris is the colored part of the eye behind the eyelids, and in front of the lens. It is the only internal organ of the body which is normally externally visible. These visible patterns are unique to all individuals and it has been found that the probability of finding two individuals with identical iris patterns is almost zero. Though there lies a problem in capturing the image, the great pattern variability and the stability over time, makes this a reliable security recognition system.

Ophthalmologists Alphonse Bertillon and Frank Burch were one among the first to propose that iris patterns can be used for identification systems. In 1992, John Daugman was the first to develop the iris identification software. Other important contribution was by R.Wildes et al. Their method differed in the process of iris code generation and also in the pattern matching technique. The Daugman system has been tested for a billion images and the failure rate has been found to be very low. His systems are patented by the Iriscan Inc. and are also being commercially used in Iridian technologies, UK National Physical Lab, British Telecom etc.

The human iris is formed in the very early stage of life in a chaotic and random process known as morphogenesis. Once fully formed, the texture is stable throughout life. It can serve as a kind of living passport or a living password that one need not remember but can always present. Because the iris is a protected internal organ, problems with contaminants, which can effect the performance of some competing technologies, are minimalised. Also, the human necessity to keep the eye clean in the pursuit of comfort ensures that any dirt or grit that does enter they eye is removed as a natural course of action. From an end-user perspective, the non contact nature of iris recognition in practice means that it is also an extremely hygienic form of personal identification. The highly chaotic nature in which the iris is formed ensures that the likelihood of there being two exact iris patterns is extremely low (1 in 10to the power of 72). In fact, a pair of identical twins could have the same DNA, but would have four different iris patterns. There is no known case of a false acceptance for iris recognition. All of these features make iris recognition an ideal technology for an ever widening array of applications including access control, border control, government security, airport security, information security and numerous bespoke applications.



Iris Recognition . It Luigi Rosa mobile +39 3207214179 luigi.rosa@tiscali.it
http://www.advancedsourcecode.com