Design and Implementation of Iris Pattern Recognition Based on Wireless Network Systems

Inhaltsverzeichnis (Table of Contents)

• Abstract
• Table of Contents
• List of Abbreviations
• List of Symbols
• List of Figures
• List of Tabels
• Chapter One: Introduction
• General Introduction
• Literature Survey
• Aim of the Work
• Thesis Layout
• Chapter Two: Theoretical Background
• Introduction
• Biometrics and Human Iris
• Iris Recognition System
• Capturing Sample
• Iris Segmentation
• Iris Normalization
• Feature Encoding

Frequently Asked Questions

What is the main goal of iris pattern recognition?

The goal is to provide a highly secure and accurate biometric identification method by analyzing the unique patterns in the human iris.

What is the advantage of using Genetic Algorithms in iris recognition?

Genetic algorithms can achieve higher recognition rates and faster execution times compared to traditional methods like the Masek algorithm.

How does PCA help in iris recognition systems?

Principal Component Analysis (PCA) is used for image compression, reducing the data size for transmission while maintaining high image quality.

What protocol is used for image transfer in wireless networks?

The system uses the TCP/IP protocol suite with client-server sockets to transfer biometric data between computers on the network.

What are the steps of an iris recognition system?

The process includes capturing the sample, iris segmentation, normalization, feature encoding, and finally matching the template.