Secure Authentication using Iris, Face and Signature

Project Code :TMMAAI177

Objective

The main objective of this project is to made a three phase authentication system using Iris, Face and signature.

Abstract

System security is becoming increasingly critical. The number of hacked systems is growing all the time, and authentication is a critical first line of security against hackers. 

In terms of information content, iris, face, and signature as a biometric are quite rich. It provides one of the most secure authentications. The authentication procedure, which involves comparing the current subject's iris, face, and signatures with the stored version, is one of the most accurate, with very low false acceptance and denial rates, once the images have been captured using a conventional camera. 

This work proposes three algorithms for secure authentication i.e., iris authentication, face authentication, and signature authentication using convolutional neural networks. The authentication results for the three techniques were obtained and compared.

Keywords: Iris authentication, Face authentication, Signature authentication, Security systems, Convolutional neural networks.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software: Matlab 2018a or above

Hardware:

Operating Systems:

  • Windows 10
  • Windows 7 Service Pack 1
  • Windows Server 2019
  • Windows Server 2016

Processors:

Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support

Disk:

Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space

RAM:

Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes

  • Introduction to Matlab
  • What is EISPACK & LINPACK
  • How to start with MATLAB
  • About Matlab language
  • Matlab coding skills
  • About tools & libraries
  • Application Program Interface in Matlab
  • About Matlab desktop
  • How to use Matlab editor to create M-Files
  • Features of Matlab
  • Basics on Matlab
  • What is an Image/pixel?
  • About image formats
  • Introduction to Image Processing
  • How digital image is formed
  • Importing the image via image acquisition tools
  • Analyzing and manipulating images.
  • Phases of image processing:
    • Acquisition
    • Image enhancement
    • Image restoration
    • Color image processing
    •  Image compression
    •  Morphological processing
    • Segmentation etc.,
  • How to extend our work to other real-time applications
  • Project Development Skills
    • Problem analyzing skills
    • Problem-solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

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