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    1.  INTRODUCTION

    1.1 HISTORY AND DEVELOPMENT OF BIOMETRICS

    1.2 BASIC STRUCTURE OF A BIOMETRIC SYSTEM

    1.3 CLASSIFICATION OF BIOMETRICS

    1.4 TYPES OF BIOMETRICS

    2.  IRIS RECOGNITION

    2.1 INTRODUCTION

    2.2 ANATOMY OF THE HUMAN IRIS

    2.3 STAGES INVOLVED IN IRIS DETECTION

    2.3.1  IMAGE ACQUISITION ANS SEGMENTATION

    2.3.2  NORMALIZATION

    2.3.3  FEATURE ENCODING AND MATCHING

    2.4 BIOMETRIC SYSTEM PERFORMANCES

    2.5 DECISION ENVIRONMENT

    3.  ADVANTAGES AND DISADVANTAGES

    4.  CONCLUSION

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      1 

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    Biometric authentication requires comparing a registered or enrolled biometric sample (biometric

    template or identifier) against a newly captured biometric sample (for example, a fingerprint

    captured during a login).

    During Enrollment, a sample of the biometric trait is captured, processed by a computer, and

    stored for later comparison.

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    a person from the entire enrolled population by searching a database for a match based solely on

    the biometric. For example, an entire database can be searched to verify a person has not applied

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    for entitlement benefits under two different names. This is sometimes called “one-to-many”

    matching.

    A system can also be used in Verification mode, where the biometric system authenticates a

    person’s claimed identity from their previously enrolled pattern. This is also called “one-to-one”

    matching. In most computer access or network access environments, verification mode would be

    used. A user enters an account, user name, or inserts a token such as a smart card, but instead of

    entering a password, a simple touch with a finger or a glance at a camera is enough to authenticate

    the user.

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    2.3

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    1. J. G. D, H

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     . 1141161, 13.

    2. J. G. D, H , , . 14, . 1, . 2130, 2004.

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    9. Somnath Dey and Debasis Samanta,” I F P I BA S, I J E E E 4:2 2010