A Dimensionality Reduced Iris Recognition System with Aid of AI Techniques

A Dimensionality Reduced Iris Recognition System with Aid of AI Techniques

N.MURALI KRISHNA

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P.Chandra Sekhar Reddy

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α Jawaharlal Nehru Technological University, Hyderabad

A Dimensionality Reduced Iris Recognition System with Aid of AI Techniques

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Abstract

Technologies that exploit biometrics have the potential for the identification and verification of individuals designed for controlling access to secured areas or materials. One of the biometrics used for the identification is iris. Many techniques have been developed for iris recognition so far. Here we propose a new iris recognition system utilizing unbalanced wavelet packets and FFBNN-ABC. In our proposed system, the eye images obtained from the iris database are preprocessed using the adaptive median filter to remove the noise. After removing the noise, iris part is localized by using contrast adjustment and active contour technique. Then unbalanced wavelet packets coefficients and Modified Multi Text on Histogram (MMTH) features are extracted from the localized iris image. Then MMTH features extracted are clustered by using the MFCM technique. After clustering, the dimensionality of the features is reduced by using PCA. Then the dimensionality reduced features & unbalanced wavelet packet coefficients are given to FFBNN to complete the training process. During the training, the parameters of the FFBNN are optimized using ABC Algorithm. The performance of our proposed iris recognition system is validated by using CASIA database and compared with the existing systems. Our proposed iris recognition system is implemented in the working platform of MATLAB.

References

25 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

N.MURALI KRISHNA. 2014. \u201cA Dimensionality Reduced Iris Recognition System with Aid of AI Techniques\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 14 (GJRE Volume 14 Issue J4): .

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GJRE Volume 14 Issue J4
Pg. 11- 25

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

adaptive median filter feed forward back propagation neural network (FFBNN)iris r modified multi text on histogram (MMTH)unbalanced haar wavelet

Submission ReceivedDecember 11, 2013
Peer Review Double Blind
Handling Editor
Accepted January 4, 2014
Published January 15, 2014

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v1.2

Issue date

November 3, 2014

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Research in Engineering - J: General Engineering

Authors: N.Murali Krishna, P.Chandra Sekhar Reddy (PhD/Dr. count: 0)

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Publish Date: 2014 11, Mon

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Total Views: 4438

Total Downloads: 2256

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