19-05-2012, 05:27 PM
Iris Scanning for Person Recognition
[attachment=22507]
Introduction
Iris recognition is a method of biometric authentication that uses pattern-recognition techniques based on high-resolution images of the irises of an individual's eyes.
Iris is a muscle within the eye that regulates the size of pupil, controlling the amount of light that controls the eye.
In this figure you can see the iris.
Here are some key features of "Iris Recognition System":
Highly optimized code: the execution time reduced of 94%, more than 16 times faster than original code.
Matching module
Optimized memory allocation
Iris recognition
Interactive and intuitive GUI
C code included
Advantages
The iris of the eye has been described as the ideal part of the human body for biometric identification for several reasons:
It is an internal organ that is well protected against damage and wear by a highly transparent and sensitive membrane (the cornea). This distinguishes it from fingerprints, which can be difficult to recognize after years of certain types of manual labor.
The iris is mostly flat, and its geometric configuration is only controlled by two complementary muscles (the sphincter pupillae and dilator pupillae) that control the diameter of the pupil. This makes the iris shape far more predictable than, for instance , that of the face.
While there are some medical and surgical procedures that can affect the colour and overall shape of the iris, the fine texture remains remarkably stable over many decades. Some iris identifications have succeeded over a period of about 30 years.
Disadvantages
Iris scanning is a relatively new technology and is incompatible with the very substantial investment that the law enforcement and immigration authorities of some countries have already made into fingerprint recognition.
Iris recognition is very difficult to perform at a distance larger than a few meters and if the person to be identified is not cooperating by holding the head still and looking into the camera.
[attachment=22507]
Introduction
Iris recognition is a method of biometric authentication that uses pattern-recognition techniques based on high-resolution images of the irises of an individual's eyes.
Iris is a muscle within the eye that regulates the size of pupil, controlling the amount of light that controls the eye.
In this figure you can see the iris.
Here are some key features of "Iris Recognition System":
Highly optimized code: the execution time reduced of 94%, more than 16 times faster than original code.
Matching module
Optimized memory allocation
Iris recognition
Interactive and intuitive GUI
C code included
Advantages
The iris of the eye has been described as the ideal part of the human body for biometric identification for several reasons:
It is an internal organ that is well protected against damage and wear by a highly transparent and sensitive membrane (the cornea). This distinguishes it from fingerprints, which can be difficult to recognize after years of certain types of manual labor.
The iris is mostly flat, and its geometric configuration is only controlled by two complementary muscles (the sphincter pupillae and dilator pupillae) that control the diameter of the pupil. This makes the iris shape far more predictable than, for instance , that of the face.
While there are some medical and surgical procedures that can affect the colour and overall shape of the iris, the fine texture remains remarkably stable over many decades. Some iris identifications have succeeded over a period of about 30 years.
Disadvantages
Iris scanning is a relatively new technology and is incompatible with the very substantial investment that the law enforcement and immigration authorities of some countries have already made into fingerprint recognition.
Iris recognition is very difficult to perform at a distance larger than a few meters and if the person to be identified is not cooperating by holding the head still and looking into the camera.