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Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

A proposed biometric authentication hybrid approach using iris recognition for improving cloud security.

Hosam El-Sofany¹, Belgacem Bouallegue^1,2, Yasser M Abd El-Latif³

¹College of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia.

|September 12, 2024

Summary

This study introduces a hybrid biometric system using iris recognition, edge detection, and segmentation for enhanced cloud security. The novel approach achieves high recognition rates, improving authentication security.

Keywords:

Biometric authentication Cloud security Convolutional neural network Edge detection Hamming distance Iris recognition Segmentation

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Area of Science:

Computer Science
Cybersecurity
Biometrics

Background:

Traditional authentication methods face security challenges.
Biometric systems offer a more secure alternative but have technical limitations.
Cloud systems require robust security measures.

Purpose of the Study:

To propose a hybrid approach combining edge detection and segmentation for enhanced cloud system security.
To leverage iris recognition for secure biometric authentication.
To evaluate the effectiveness of the proposed method in improving cloud security services.

Main Methods:

A hybrid approach integrating edge detection and segmentation techniques.
Iris recognition utilized for biometric feature extraction.
Classification performed using Hamming Distance (HD) and Convolutional Neural Networks (CNN).
Validation conducted on MMU, IITD, and CASIA Iris Interval V4 datasets.

Main Results:

Achieved a 99.50% recognition rate on the MMU dataset using CNN.
Attained a 97.18% recognition rate on the IITD dataset using CNN.
Reached a 95.07% recognition rate on the CASIA dataset using HD.
Demonstrated superior performance compared to previous research classifiers.

Conclusions:

The proposed hybrid biometric system significantly enhances cloud security.
Iris recognition combined with advanced image processing and machine learning offers high accuracy.
The method provides a viable solution for secure cloud authentication.