BIOMETRIC AUTHENTICATION SYSTEMS

Category:
Technical Computing – MATLAB

Introduction:
Biometrics refers to the automatic identification of a person based on his or her physiological, behavioural or morphological characteristics. This method of identification is preferred over traditional methods involving passwords and PIN (personal identification numbers) numbers because it requires the person (user) to be physically present for the identification process

Objective:
The objective of this course is to provide participants with a platform to understand the various biometric technologies and its pros & cons. The course also covers the various biometric processes, techniques and case studies. By attending this course, the participants can identify which and what kind of biometric authentication should or should not be used in a given system.

Pre-requisites:
Candidate must have experience with basic computer operations and preferably attended our “Digital Image Processing” and “Digital Signal Processing”.

Duration:
2 Full Days

Content:

Introduction
• Definition & Historical Overview
• Identification & Verification
• Types of Biometrics
• How does it work?

Biometric Process
• Strengths and weaknesses
• Comparison of Biometric Techniques
• Difference between Biometrics and Forensics
• Latest trends in Biometrics
• Biometric System Model: Overview of Biometric Systems
• Biometric Enrolment, Verification & Identification

Types of Biometric Technology (Case Studies)
• Speaker Recognition
• Signature
• Fingerprint
• Face Recognition
• Iris
• Hand geometry

Conclusion
• Summary and Wrap-Up

Who Should Attend:
Scientists, researchers, lecturers, R&D personnel, biotechnologists, medical laboratory personnel, and students undertaking research activities in the area of biometrics authentication systems.