Iris Recognition Project

[Hayley Sweigard]

Higuys,,is there anybody familiar with Iris recognition or Iris detection using matlab?? i really need help if u can,,i am working with this project,,i am using libor masek source code,,i have some question,,

Your image is not usable for iris recognition.

If I cannot see the real iris pattern because there is no pattern in the image, no computer will be able to do. I see a lamp reflecting a white spot on the iris, but no iris pattern.

Or maybe if you have dedicated iris recognition hardware you can connect to your Arduino and control via SPI interface. With processing power in the dedicated hardware and the Arduino for SPI control. But not an Arduino for image processing. It's totally out of bounds with regard to RAM memory and calculation power.

thank you for the information,,i mean is it okay if my image also include the eyalash something like in my picture above?? and i will try my eye to look directly to camera..and because the title forum say project guidence and later i will send the data to arduino,,thats why i want to ask for help,,

jurs:

Your image is not usable for iris recognition.

If I cannot see the real iris pattern because there is no pattern in the image, no computer will be able to do. I see a lamp reflecting a white spot on the iris, but no iris pattern.

One way involves a security system that links eye-scanning cameras with computers to identify people who have been preauthorized to enter the schools and then, once their identity is confirmed, lets them in by unlocking the door. The system has been adopted by three Plumsted Township schools in New Egypt, New Jersey, under a $293,000 science and technology grant from the National Institute of Justice. More recently, NIJ awarded a second grant to install a similar eye-scanning system in another, more demographically diverse New Jersey school.

In addition, NIJ funded an evaluation of the field test of the technology in the New Egypt schools. 21st Century Solutions, Inc. conducted an independent evaluation of the project, working in partnership with the schools and NIJ.

Nicknamed T-PASS (an acronym for Teacher- Parent Authorization Security System), the system in New Egypt identifies people using cameras that focus on 240 separate points on their irises. The iris is the round, pigmented area surrounding the pupil that controls how much light enters the eye. The experimental system represents the first use of iris recognition technology as a security measure for schools in the United States. Elsewhere, iris scanners are used to track inmate movements inside a dozen or so U.S. jails and to ensure that any prisoners being released are indeed the right ones. They are also used to identify some people entering Canada from the United States; some airline passengers at Reagan National Airport in Washington, DC, and other U.S. airports; and ATM users in Great Britain.

Biometrics systems can use one or more of several different physical and/or behavioral characteristics for identification and verification. These include iris, retinal, and facial recognition; hand and finger geometry; fingerprint and voice identification; and dynamic signature. Some methods, like iris scans, are more technologically and commercially advanced than others. Which biometric method works best varies significantly from one application to another and even from one vendor to another. It depends on how and for what purpose the system is to be used; the level of accuracy and reliability required; and such factors as cost, speed, and user acceptance. None provides 100 percent accuracy.

After considering alternative biometric technologies, New Egypt officials chose iris recognition, one of the most reliable systems. Unfortunately for the school district, no complete iris scanning system existed that could be purchased and installed off the shelf. Instead, working with private vendors and NIJ, the school system developed its own iris recognition system.

For the most part, iris recognition worked. Of the more than 9,400 times someone attempted to enter the school using the iris scanners, there were no known false positives or other misidentifications. Indeed, the system provided an accurate identification and unlocked the door 78 percent of the time. Of the failed attempts, 6 percent resulted from people using the scanners who were not enrolled and thus whose iris scans were not in the computer. Another 16 percent were due to problems with outdoor lighting or someone not lining up his or her eyes properly for the camera to read accurately.

Most importantly, the iris recognition program seemed to make parents, teachers, and staff members feel safer in the school. When questioned as part of an outside evaluation of the program by 21st Century Solutions, parents who responded to the survey said at first they perceived little or no change in the efficiency of the sign-in process, the security problems within the school, or in the overall safety of the school neighborhood. Later, as people got used to the scanners, most parents said they believed the T-PASS system provided greater security than the previous swipe-card one and was easier to use than ringing a buzzer and waiting for someone to open the doors. They also reported being able to enter and leave the school much more quickly when picking up their children during school hours than were parents who continued to sign in and out manually.

Similarly, teachers and staff members at the elementary school told program evaluators that they perceived school security as significantly increased. They felt that problems such as outside people getting into the schools easily and staff members leaving doors propped open had declined. The elementary school secretaries, in particular, reported fewer parents walking around the school looking for their children.

Some problems with the new iris scanners and security system arose, as one would expect of any new technology. For example, during the first few days the cameras often froze up and would not work. Some felt that the signs telling people how to use the scanners (or the traditional buzzers for people who had not yet had their eyes scanned) were confusing. And as noted above, some people could not seem to line up their eyes properly so the cameras could accurately scan them.

The latter problem was particularly acute among older staff members and among people who have a dominant eye. It was partly overcome by advising people to try a second or even a third time. In some cases, school officials spent extra time showing people how to position their head so the camera could accurately read their iris. Schools in Freehold Borough, the next New Jersey district to test the iris recognition system under an 18-month, $350,000 NIJ grant, will use newer cameras that have two lenses rather than one. That will provide a more accurate reading even when people still cannot align their eyes properly.

A more serious problem was related to the use of outdoor cameras. Those cameras often failed to correctly identify people whose irises had been scanned, especially when they were in direct or bright sunlight. There were even problems accurately reading irises on gray, cloudy days. Most of the 16 percent failures noted above were due to sunlight affecting how the cameras could read the irises. In some cases, these problems could be overcome by placing a hood over the outside cameras to shield them from the sun.

A similar problem involved teachers, staff members, and others who went outside the school on their lunch break or between classes to eat, smoke, or talk to their colleagues. Often, these individuals propped open a door behind them so they could get back into the building easily without going through the iris scanners again. School officials even found a brick placed by one door, used to prop it open. Again, the problem declined when officials reminded school employees and parents of the need to keep the doors closed and locked for security reasons.

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Abstract: Biometrics deals with the recognition of humans based on their unique physical characteristics. It can be based on face identification, iris, fingerprint and DNA. In this paper, we have considered the iris as a source of biometric verification as it is the unique part of eye which can never be altered, and it remains the same throughout the life of an individual. We have proposed the improved iris recognition system including image registration as a main step as well as the edge detection method for feature extraction. The PCA-based method is also proposed as an independent iris recognition method based on a similarity score. Experiments conducted using our own developed database demonstrate that the first proposed system reduced the computation time to 6.56 sec, and it improved the accuracy to 99.73, while the PCA-based method has less accuracy than this system does. Keywords: biometrics; iris recognition; security system; image processing; pattern recognition; iris image acquisition; image registration; PCA

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