PPt on face recognzation

8/7/2019 PPt on face recognzation.......

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FACE DETECTION


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Eye template level 1


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IRIS RECOGNITION

Charulakshmi V


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Who are you ???


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Broad Classification


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Why Iris Recognition?

The only INTERNAL organ EXTERNALLYvisible

very high between-person variability and verylow within-person variability across time

Stable over at least 30 years

Eye injuries or operations cannot change theIris pattern what so ever

furrows..ridges.. crypts..

rings.. coronas.. arching

ligaments.. zigzagcollarettes.. make Iris

patterns too complex to

have duplicates


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Sample of an Iris


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Can we fool this technique?

present a high resolution picture of a person..

just wear a mask!

wear a specs or colored contact lens.. what if Ihave naturally dark black eyes ?

Pupil dilation or Disorders or diabetes or

natural aging ?

1. Live tissue detection checkfor retina

2. Illuminate at some angles cornea will reflect light

Red-eye effect3. ask the person to move the

eyes and track it. You can uselower resolution cameras for

this (may be!!)

Near IR radiation will be used to find the patterns.

So even a black eye will show rich patterns

The edge detection of contact lens and corresponding

correction will be made before processing... anyways NIRwilljust penetrate through the lens!

The algorithms take care ofpupil dilation.

The change in Iris is less than

30% and it is so subtle that itdoes not hamper Iris

recognition


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Disadvantages

Costly - some countries cannot afford to

replace their existing systems

Proximity to the camera is required

Co-operation of the person to be identified


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1. Iris Localization

Localize eyes may be with a low resolution

camera

Isolate Iris with Narrow angle pan/tilt camera


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Iris images - Light-green eye


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Iris Images Dark brown eye


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1.Iris Localization

iris and pupil segmentation


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2. Texture Analysis

2-D Gabor filter over the Image domain (x,y)


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2. texture analysis

correction for the dilation of pupil


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2. Texture Analysis


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2. Texture Analysis

Invariance to the following factors is acheived bythe algorithm

illumination

eyelids hiding iris

tilting of head/camera

Cyclovergence - torsional movement of eyes within itssocket


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3. Matching Iris codes

Some related terms

The degrees of freedom

finally is 173 Hamming Distance


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More Questions ??


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References

1. How Iris recognition works J. G. Daugman(http://www.cl.cam.ac.uk/~jgd1000/irisrecog.pdf

)

2. High Confidence Visual Recognition of Persons byaTest of Statistical Independence- J. G. Daugman

(http://www.cl.cam.ac.uk/~jgd1000/PAMI93.pdf)

3. http://www.csee.wvu.edu/~ross/pubs/RossMSIris_CVPRW06.pdf

4. wikipedia.org

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PPt on face recognzation