Biometrics for the Eyes Using Cameras

The human eye has been regarded by many individuals throughout history as being one of the most wonderful things in nature due to the fact that it symbolizes the identity of a person. Despite the fact that biometrics was a concept not yet invented in those old days, this resemblance still applies entirely to the techniques at the heart of Panasonic's BM-ET330 iris identification interfaces.

This verification interface utilizes an advanced method to positively authenticate an individual's identity through a peek into two cameras to take a photo of both eyes. The photo is then compared to a previously taken photo that is saved in the records.

One of the most reliable biometric technologies available today is Iris recognition. Also its dual camera design which captures both iris images at the same time enhances that reliability. It's easy to use and fast in operation. It also features extremely low rates for both false rejects and accepts.

The iris recognition systems are now being used in a wider range of identity management installations to enhance existing physical security systems such as access management even though it was initially employed in high-security applications. The BM-ET330 system is incorporated into the several lobby turnstiles, which are networked into the building's access control system in relation to an example such as a highly trafficked office building in a busy downtown area.

Clients initially enroll in the system by having pictures of their eyes taken by the iris reader and saved in an electronic record. Developed by Iridian Technologies Inc. the system's biometric software makes a template or general layout of each person's iris pattern for storage on the access management system network.

As an example, in the case of the Manhattan office building, in order to validate identity in the database as an authorized worker and gain entry to the building, clients swipe their admission card and then basically look into the iris scanner. After that, the system compares the general patterns in the person's irises with the templates saved on the database, the identity is then verified if there's a match, the bar is unlocked and the person can access the area.

Improving the existing security systems with biometrics, and particularly iris identification has become widely accepted and more widespread. The ease of use, extreme accuracy, and high security is all offered by this new Iris security technology. The verification process is particularly more a precise due to the fact that unlike fingerprint, voice, facial or photo ID card programs, the information gathered using the iris recognition system will never become out of date, because iris patterns remain the same for life after a person turns one year old. Not to mention that the system has a false acceptance ratio of only one in one million usages. On top of that, it is absolutely safe to operate, and no contact with the cameras is necessary, which successfully prevents wear and tear and contamination concerns.

The iris recognition provides a definite advantage in an integrated front-end access management system when compared to other biometric solutions. The iris reader utilizes a one-to-many comparison technique, which seeks to find an identity from a record band rather than verify a claimed identity which is far more superior that the one-to-one search technique used in fingerprint interfaces. In addition, the files required to save iris information are much smaller compared to those for fingerprints interfaces (about 512 bytes compared to 1.5 MB) in this manner they make the data easier to save and locate.

The general Public's knowledge and acceptance of access management is becoming more common everyday, and use of iris detection systems will increase in the public domain as an incorporated or even standalone system to access management.

Biometrics identification interfaces photo system identity management installation electronic network software database fingerprint, voice, facial or photo ID card programs iris recognition