Ppt about iris detection

1. An Efficient Biometric System
Using Iris Detection
Project Guide: Project Members:
Mr.R.V.Ch.Shekar Rao P.Priyanka
(Associate Professor) P.Gayathri
V.Sai Moulika

2. INTRODUCTION
• A biometric identification system of an individual is based on a unique biological feature
of the individual features like human speech, fingerprints , iris, retina etc..
• Iris of the eye is considered as more effective.
• Texture of the iris for an individual remains stable through life and can be encoded in a
small memory.
• This features makes recognition based iris the most accurate and reliable biometric
identification.

3. HISTORY
• The most well known methodologies are that proposed by Daugman in 1993 he presents an
approach which was constituted the basis of most successful functioning iris recognition
systems.
• On the segmentation stage he uses a differential operator to find both the inner and outer iris
boundary.
• Hung,. Luo , and Chen in 2002 investigated the implementation of iris localization on
downscale eye image to reduce search space.
• In 2006, Arvacheh and Tizhoosh proposed active contour model to enhance pupil boundary
detection.

4. HISTORY
• Jarjes in 2010 identified the pupil boundary by circle fitting. the angular integral projection
function has been used to detect points.
• T. Muhammad, Tariq, Shahid, Aurangzeb and ling in 2012 investigated the implementation of
iris localization based on a local histogram and standard deviation.
• The pupil region is detected by of enclosing the pupil by using a circular moving window.
• In 2013, Sastry and Sri introduced an enhanced iris segmentation method that allows iris
recognition systems to be implemented in real-time applications. reduced iris segmentation
time further allows high resolution iris images to be used thereby enhancing recognition
accuracy.
• Iman A.Saad and Loay E.George in 2014 introduced a method for iris segmentation. This
method utilized histogram stretching as a preprocessing step to improve the contrast of the
eye region.

5. EYE STRUCTURE

6. PROPOSED SYSTEM
Main Stages for Localisation of Iris are:
• Detecting of Pupil Boundary
 Pupil Boundary Detection
 Localise Flexand Full the Light Reflex
 Seed Fill
• Detecting of Iris Boundary
 Detecting of Iris Boundary

7. DETECTING OF PUPIL BOUNDARY

8. PUPIL BOUNDARY DETECTION

9. PUPIL BOUNDARY DETECTION

10. PUPIL BOUNDARY DETECTION

11. PUPIL BOUNDARY DETECTION

12. LOCLAEIZ FLEXAND FULL THE LIGHT REFLEX

13. CONTRAST STRETCHING

15. SEED FILL

16. DETECTING OF IRIS BOUNDARY

17. DETECTING OF IRIS BOUNDARY

18. SAMPLES OF DETECTING IRIS BOUNDARY OF
PROPOSED SYSTEM

19. CONCLUSION
• Texture of the iris for an individual remains stable through life and can
be encoded in a small memory.
• This features make recognition based iris the most accurate and
reliable biometric identification.