final project seminar on iris recognition by bharath.m

IRIS RECOGNITION AS A STRONG BIOMETRIC CUE

FOR IDENTIFICATION

By,Arun Ross, West Virginia University,IEEE CS Workshop on Biometrics (CVPRW06),IEEE CS Press.2009.

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Outline• The Present Existing Systems. • What Is Iris Recognition System ?• Anatomy Of The Human Eye.• Schematic Diagram Of Iris Detection.• 3 Stages -> Image Acquisition. -> Image Localization. -> Pattern Matching.• Advantages and drawbacks.• Special Case Solved• Reference.

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The Present Existing System

1) Finger Print recognition system.

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2) Voice recognition system.

3) Face recognition system.

4) Hand geometry recognition system.

What Is Iris Recognition System ?

Iris recognition is a method of biometric authentication that uses pattern-recognition techniques based on high-resolution images of the irides of an individual's eyes.

“Iris is unique to an individual”-is the conclusion of ophthalmologists and anatomists, Therefore recognition of separate individuals is possible.

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Anatomy of the

Human Eye

• Eye=Camera.

• Cornea bends, refracts, and focuses light.

• Retina = Film for image projection (converts image into electrical signals).

• Pupil allows light to enter the retina.

• Iris = Aperture Iris Detection - Bharath.M [H.K.B.K.C.E] 5

Schematic diagram of iris recognition

3-STAGES

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Usage of iris scanners.

Usage of infra red beam.

One of the major challenges of automated iris recognition is to capture a high-quality image of the iris while remaining noninvasive to the human operator.

Image Acquisition

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John Daugman (1994)

• Pupil detection: circular edge detector

• Segmenting sclera

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Iris Localization before

after

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Rubbersheet Model

rr

0 1

θ

θ

Each pixel (x,y) is mapped into polar pair (r, ).

Circular band is divided into 8 subbands of equal thickness for a given angle .

θ

θ

Mapping of the Co-ordinates.

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Representation of iris and also of a person

Textured region is unique for a person

Storing Of Image Data In Term Of Bytes.

The Bar-Code of an individual

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Pattern Matching The stored image bar code along with its bit

data is compared.

Graph showing a high degree of success rate in iris pattern matching

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ADVANTAGES OF I.R.S

Stable. Unique. Flexible. Reliable. Non-Invasive. Unprecedented false match rate. Fastest scan and save time.

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Costly.

Non-differentiation.

Moving target.

Not applicable to total blind.

Surgery.

Drawbacks Of I.R.S

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LOST AND FOUND

[A SPECIAL CAS

E OF I.R.S]

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REFERENCES

1. J. Daugman’s web site. URL:http://www.cl.cam.ac.uk/users/jgd1000/2. J. Daugman, “High Confidence Visual Recognition of Persons by a Test of Statistical Independence,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1148 – 1161, 1993. 3. J. Daugman, United States Patent No. 5,291,560 (issued on March 1994). Biometric Personal Identification System Based on Iris Analysis, Washington DC: U.S. Government Printing Office, 1994. 4. J. Daugman, “The Importance of Being Random: Statistical Principles of Iris Recognition,” Pattern Recognition, vol. 36, no. 2, pp 279-291. 5. R. P. Wildes, “Iris Recognition: An Emerging Biometric Technology,” Proc. of the IEEE, vol. 85, no. 9, 1997, pp. 1348-1363.

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By,Bharath.M1HK06CS012

THANK YOU !ANY QUESTIONS ?

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