BIOMETRICSTHE MAN MACHINE INTERFACE

INTRODUCTION

BIOMETRICS – definition.Biometric system comprised of Integrated

components like : Sensor. Signal processing algorithms. Data storage. Matching algorithm. Decision process.

BIOMETRIC MODALITIES

Biometric modalities include fingerprint, face, iris, voice, signature and hand geometry etc..

Implementing a biometric device including location, security risks etc..

DYNAMIC SIGNATURE

Various measurements are observed and processed for comparison.

Dynamic Signature Depiction: As anIndividual signs the contact sensitive

tablet.

APPROACH TO DYNAMIC SIGNATURE

Graphic Depiction of Dynamic Signature Characteristic.

FACE RECOGNITION

Predominant Approaches :

Principal Components Analysis (PCA).Linear Discriminant Analysis (LDA).Elastic Bunch Graph Matching (EBGM).

PCA: Principal Components Analysis

Standard Eigenfaces: Feature vectors are derived using Eigenfaces.

LDA: Linear Discriminant Analysis

Example of Six Classes Using LDA.

EBGM: Elastic Bunch Graph Matching

Elastic Bunch Map Graphing.

IRIS RECOGNITION

Iris Diagram. Iris Structure.

APPROACH TO IRIS RECOGNITION

White outlines indicate the localizationof the iris and eyelid boundaries.

Pictorial Representation of Iris Code.

Iris vs. Retina Recognition

Structure of the Eye.

CONCLUSION

Biometrics provides high security and reduces the incidence of unauthorized access in sensitive areas.

Biometrics cannot be lost, stolen or forgotten.

More secure than a long password.

REFERENCES

www.biometrics.dod.mil/ www.ifpo.org/articlebank/biometrics.htmlwww.questbiometrics.com

www.toodoc.com/biometrics-ppt.html

QUERIES…???