Chapter 4: Iris Recognition
Overview
The iris is the plainly visible, colored ring that surrounds the pupil of one’s eye. It is a muscular structure that controls the amount of light entering the eye, with intricate details that can be measured, such as striations, pits, and furrows. The iris is not to be confused with the retina, which lines the inside of the back of the eye. (Iridian Technologies Incorporated, 2004) The iris recognition biometric technology uses the measurable features of the iris to create mathematical algorithms of the iris. The algorithms are then stored and later compared with new algorithms of irises presented to a capturing device for either identification or verification purposes.
This diagram is of the basic internal structure of the eye. The image was taken from www.iridiantech.com
Iris recognition technology was developed by Dr. John Daugman, and is patented solely by Iridian Technology Incorporated. (IrisGuard Incorporated, 2004) There are three basic steps to iris recognition. The first step involves capturing or acquiring an image of the iris. This step is generally fulfilled by a person standing in front of a camera. The camera then takes a picture of the iris using visible and/or infrared light. (Iridian Technologies Incorporated, 2004) The second step is that of converting the image to what is called an iriscode™. In this step, the digital image is filtered, by an algorithm, to map segments of the iris into hundreds of vectors, also known as phasors. The visible characteristics including the tribecular meshwork (the appearance of radial divisions in the iris), rings, furrows, freckles, and corona of the iris are mapped into the different phasors and stored as hexadecimal representations in a computer. (Iridian Technologies Incorporated, 2004) The third and final step of iris recognition is to search an already known database of Iriscode™ information for a match with the Iriscode™ of a new sample. (IrisGuard Incorporated, 2004)

The image on the left shows the visible characteristics of the iris (www.cl.cam.ac.uk/users/jgd1000), while the image on the right gives a "camera's eye" view of the subject (www.iridiantech.com)
Iris recognition in an opt-in technology, which means that the user must cooperate with the system for the technology to be used. Since precise measurements must be taken with the image, the subject must hold reasonably still in a specific location, even if momentarily, in order for the image to be taken. (International Biometrics Group, 2004) Systems in which the user is infrequent may encounter ease-of-use problems. When the biometric is used more frequently, the interaction becomes easier to use. Glasses and colored contact lenses can also alter the image of the iris. These items cause glare and color changes in the image, although the algorithms created by Dr. John Daugmen recognize and account for most problems when an iris region is obscured by eyelids, contains any eyelash occlusions, specular rejections, and boundary artifacts of hard contact lenses. (John Daugman, 2004)
The converted hexadecimal representation (Iriscode™) of the iris is stored into a 512 byte template. From the iris’ 11mm diameter, algorithms provide 3.4 bits of data per square mm. This density of information is such that each iris is said to have 266 ‘degrees of freedom’ instead of the 13-60 for most other biometric technologies. (International Biometrics Group, 2004) A key difference between iris recognition technologies and others is that its 512 byte templates facilitate extremely fast match speeds. On a 300 MHz CPU, such exhaustive searches are performed at a rate of about 100,000 irises per second. On a 2.2 GHz server, one million IrisCodes™ can be compared in 1.7 seconds. (International Biometrics Group, 2004) Iris recognition technology boasts an extremely low false recognition rate (FRR) of 1:1,200,000. (Panasonic Inc., 2004)
Areas of Opportunity
Iris recognition technology is currently used in many locations and for many reasons. In 1996, Lancaster County Prison in Pennsylvania became the first correctional facility to use iris scanning. Warden Vincent A. Guarini said the facility sometimes needs to release prisoners on short notice and can't wait for fingerprint tests. (Michael Meehan, 2001) In the largest national deployment of iris recognition to date, the United Arab Emirates (UAE) Ministry of Interior requires iris recognition tests on all passengers entering UAE from all 17 air, land, and sea ports. Their Iriscodes™ are then checked againt those of deportees and since its inception the program has caught 7,253 deportees returning to that country. (John Daugman, 2004) Most uses of iris recognition technology are for business purposes of access to offices, laboratories, computers, and bank accounts. The Venerable Bede School in the United Kingdom uses this technology with its 900 students to check-out library books and for cafeteria payments. (International Biometrics Group, 2004) Most recently iris recognition technology has been used in Pakistan to limit Afgan refugees to one cash grant each by the United Nations. (John Daugman, 2004)
Advantages
- Highly protected, internal organ of the eye
- Externally visible; patterns imaged from a distance
- Iris patterns possess a high degree of randomness
- variability: 266 degrees of freedom
- entropy: 3.4bits per square-millimeter
- Pre-natal morphogenesis (7th month of gestation) (John Daugman, 2004)
- Limited genetic penetrance of iris patterns
- Patterns apparently stable throughout life (John Daugman, 2004)
- Search speed: 100,000 IrisCodes per second on 300MHz CPU
Disadvantages
- Small target (1 cm) to acquire from a distance (1 m)
- Moving target ...within another... on yet another
- Located behind a curved, wet, reflecting surface
- Obscured by eyelashes, lenses, reflections
- Partially occluded by eyelids, often drooping
- Deforms non-elastically as pupil changes size (John Daugman, 2004)
- Illumination should not be visible or bright
- Some negative (Orwellian) connotations (John Daugman, 2004)
Summary
Iris Recognition Technology is versatile. Systems can be relatively inexpensive at the cost of ~ $5,000 each depending on the application. (Michael Meehan, 2001) Successful previous applications for high security area’s such as prisons, US Congressional offices, US Department of Treasury, and US Vice President Cheney’s offices provide powerful information on the reliability and accuracy of this biometric. (John Daugman, 2004) Iris recognition is set to grow substantially from a $36 million dollar industry in 2003 to a $366 million dollar industry in 2008. (International Biometrics Group, 2004) Although, there could be several ease-of-use issues when administering this technology into a school system, it is a viable option in education. This biometric technology could be an option for educational uses such as library check-out; cafeteria payments; access to buildings for faculty, staff, students, and parents; parent verification for student pick-ups; access to computers; and attendance to name a few.
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Conclusion
Everyone at one time or another has forgotten the password to their PC. This costs the company time and money. The solution is to install biometric systems in the work place. Now, with the threat of terrorist and identity fraud, biometric systems are being installed in everyday civilian life as well. The need for biometric systems is expected to grow significantly over the next few years, maybe even reaching over $1 billion. (Ganapathi, 2002)
These identification systems offer the public a promise in avoiding error or fraud. The desire for improved security has fueled the need for biometric security systems. Whether privacy advocates agree or not with the usage of biometrics still remains to be seen. However, with the increasing demand for homeland security, the use of biometrics will need to conform to privacy standards in order to appease the every day civilian.
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References
- Biometric Technology, Inc. (2002). “Biometric Technical Assessment.” Retrieved April 4, 2004 from http://www.bio-tech-inc.com.
- Business Wire. (2004). “Signature Verification Biometrics Market to Overcome the Effect of Reduced IT Expenditures.” Retrieved April 16, 2004 from http://home.businesswire.com.
- Cybersign. (2004). “Biometric Signature Verification.” Retrieved April 16, 2004 from http://www.cybersign.com/index.html.
- Croen, Ron. (March/April 2002). “The Business Case for Voice Authentication.” Speech Technology Magazine Online. Retrieved April 15, 2004 from http://www.speechtechmag.com/issues/7_2/cover/586-1.html.
- Daugman, J. & Downing, C. (2001). “Epigenetic randomness, complexity, and singularity of human iris patterns.” Procedings of the Royal Society, B, 268, Biological Sciences, pp 1737-1740.
- Frost & Sullivan. (2003). “World Non-AFIS Fingerprint Biometrics Markets.” Retrieved April 2, 2004 from http://www.marketresearch.com/map/prod/935284.html.
- Ganapathi, S.K. (2002). “Fingerprint Authentication: Shifting the Electronic Security Paradigm.” Retrieved April 4, 2004 from http://www.fidelica.com/Documents/Feb_02_SC_Magazine.pdf.html.
- Graziano, Claudia. (September 1998). “Use Your Lungs to Log On.” Wired News. Retrieved April 17, 2004 from http://www.wired.com/news/technology/0,1282,14913,00.html.
- GSA/FTS Network Services Conference. (2003). “Managing the Future: Mastering the Maze, Dynamic signature verification.” Retrieved April 14, 2004 from http://www.fts.gsa.gov/2003.
- Kulkarni, Y. & Jain, A. (n.d.). “Speaker Verification.” Retrieved April 17, 2004 from http://biometrics.cse.msu.edu/speaker.html.
- Markowitz, J. (n.d.). “Frequently Asked Questions.” JMC Publications. Retrieved April 13, 2004 from http://www.jmarkowitz.com/ask.html.
- IBM. (2004). “Online Signature Verification.” Retrieved April 8, 2004 from http://www.haifa.il.ibm.com/projects/image/sv/.
- International Biometric Group. (2004). “International Biometric Group – Fingerprint Feature Extraction.” Retrieved April 17, 2004 from http://www.biometricgroup.com/about_us.html.
- International Biometrics Group. (2004). “Iris recognition: How it works.” Retrieved April 16, 2004 from http://www.biometricgroup.com/reports/public/reports/iris-scan_tech.html.
- International Biometrics Group. (2004). “Iris recognition issues.” Retrieved April 16, 2004 from http://www.biometricgroup.com/reports/public/reports/iris-scan_issues.html.
- International Biometric Group. (2004). “Signature Verification.” Retrieved April 10, 2004 from http://www.ibgweb.com/reports/signature-scan market.html.
- International Biometrics Group. (2004). “What factors cause biometric systems to fail?” Retrieved April 16, 2004 from http://www.biometricgroup.com/reports/public/reports/multiple_biometrics.html.
- Iridian Technologies Incorporated. (2004). “What is iris recognition?” Retrieved April 8, 2004 from http://www.iridiantech.com/basics.php.
- IrisGuard Incorporated. (2004). “Iris recognition technology.” Retrieved April 16, 2004 from http://www.irisguard.com/pages.php?menu_id=6.
- Meehan, Michael. (July 2001). “Iris scans take off at airports.” Retrieved April 18, 2004 from http://www.computerworld.com/securitytopics/security/story/0,10801,47202,00.html.
- Panasonic Inc. (2004). “Benefits of using iris technology.” Retrived April 20, 2004 from http://www.panasonic.com/cctv/products/bmet500_technology.asp.
- Topick Z Inc. (2004) “Find Biometrics, Understanding Signature Verification.” Retrieved April 16, 2004 from http://www.findbiometrics.com/Pages/signature%20articles/signature_1.html.
- Ulfelder, Steve. (2004). “Indelible Signatures.” Retrieved April 17, 2004 from http://www.microsoft.com/business/executivecircle/content/page.aspx?cID=122&subcatID=3.
- University of Cambridge Computer Laboratory. (2004). “Advantages and disadvantages of the iris for identification.” Retrieved April 18, 2004 from http://www.cl.cam.ac.uk/users/jgd1000/.
This page was created for ITEDU 510, Technology Use and Assessment, Ball State University.
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