Extract and Classification of Iris Images by Fractal Dimension and Efficient Color of Iris

Jampour, Mahdi; Naserasadi, Ali; Majid, Estilayee; Ashourzadeh, Maryam

doi:10.5120/2250-2883

Cited by 4 publications

(2 citation statements)

References 19 publications

(15 reference statements)

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“…Fractals such as the contour set, snowflake or Sierpinski triangle have simple construction rules. There are many such fractals in nature, such as the fingerprint and iris [25]; both of these are considered to be the most important biometric features. As mentioned before, no construction rule is presented for any of these fractal phenomena.…”

Section: Resultsmentioning

confidence: 99%

Chaos game theory and its application for offline signature identification

Jampour

Naserasadi²

2019

IET biom.

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Chaos game mechanism is a procedure for creating fractal phenomena from another fractal using a polygon and random walk. Here, the authors propose a novel identification approach and efficient application of Chaos Game theory towards signature identification. In fact, a signature is produced with hand scripting with a special rhythm that belongs to a specific person. Although a signature is a behavioural feature among the human biometric features, this behavioural feature expresses a chaotic property and can be analysed with chaotic systems and fractal theory. With authors' technique, by using a Chaos Game theory, a new fractal is created for each signature instance and, during the creation of the fractal, new features are extracted. These features express the fractal properties of the signature and are unique. In addition, by using fractal theory, this technique benefits from the advantages of fractal phenomena such as stability against rotation, losing some parts of the signature and scale that is desirable for biometrics applications. Authors' approach for offline signature analysis can segregate and identify many signature instances with a desirable time complexity. The authors name the technique that the authors present here the chaos game signature identification (CGSI).

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Section: Resultsmentioning

confidence: 99%

Chaos game theory and its application for offline signature identification

Jampour

Naserasadi²

2019

IET biom.

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“…To protect text against external attacks we can use authentication, authorization and access control techniques such as username and password, smart identification card or biometric identification methods [10]. Of course, each of these techniques has special strengths and weaknesses.…”

Section: Text Protectionmentioning

confidence: 99%

Authors Security in Electronic Learning Systems

Naserasadi¹

2011

IJCA

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One of the most effective parameters in Electronic Learning or E-Learning systems' success is the security of these systems. But this feature is ignored in the most of cases. An E-Learning system has different user groups such as authors, teachers and students. Each of these groups has special and unique security requirements. In this paper, we distinguished security importance in E-Learning systems from authors' point of view. We investigated security requirements and the manner of authors' security risk analysis. Also, we suggested some approaches for educational content protection.

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Novel feature vector selection methods for Iris recognition

Kekre

Sarode²,

Jadhav

2012

2012 International Conference on Communication, Information &Amp; Computing Technology (ICCICT)

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Iris scan biometrics employs the unique characteristics and features of the human iris in order to verify the identity of an individual. In today's world, where terrorist attacks are on the rise, employment of infallible security systems is a must. This makes Iris recognition systems unavoidable in emerging security & authentication.In this paper an iris recognition system based on various transformation methods is proposed. A novel approach of selecting feature vector for performance comparison is implemented. Also the performance comparisons of all the transformation methods is done to achieve better accuracy and efficiency on the basis of number of correct sample identified. The proposed system does not need any pre-processing and segmentation. DCT, HAAR, and WALSH Transforms are tested on different size of feature vector to get best possible results.

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Extract and Classification of Iris Images by Fractal Dimension and Efficient Color of Iris

Cited by 4 publications

References 19 publications

Chaos game theory and its application for offline signature identification

Chaos game theory and its application for offline signature identification

Authors Security in Electronic Learning Systems

Novel feature vector selection methods for Iris recognition

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