Sift Algorithm for Iris Feature Extraction

1
Kinjal M. Gandhi
Kinjal M. Gandhi
2
Prof. R.H. Kulkarni
Prof. R.H. Kulkarni
1 Tssms Bhivarabai sawant college of engg and research,narhe,pune,pune university

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GJCST Volume 14 Issue F3

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Iris recognition is proving to be one of the most reliable biometric traits for personal identification. In fact, iris patterns have stable, invariant and distinctive features for personal identification. Reliable authorization and authentication are becoming necessary for many everyday applications. Iris recognition has been paid more attention due to its high reliability in personal identification. But iris feature extraction is easily affected by some practical factors, such as inaccurate localization, occlusion, and nonlinear elastic deformation. The objective of the study and proposed work is to adapt the increasing usage of biometric systems which can reduce the iris preprocessing and describe iris local properties effectively and have encouraging iris recognition performance. This work presents an efficient algorithm of iris feature extraction based on modified scale invariant feature transform algorithm (SIFT) .

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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.

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Not applicable for this article.

Kinjal M. Gandhi. 2014. \u201cSift Algorithm for Iris Feature Extraction\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F3): .

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GJCST Volume 14 Issue F3
Pg. 31- 36
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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v1.2

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August 21, 2014

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English

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Iris recognition is proving to be one of the most reliable biometric traits for personal identification. In fact, iris patterns have stable, invariant and distinctive features for personal identification. Reliable authorization and authentication are becoming necessary for many everyday applications. Iris recognition has been paid more attention due to its high reliability in personal identification. But iris feature extraction is easily affected by some practical factors, such as inaccurate localization, occlusion, and nonlinear elastic deformation. The objective of the study and proposed work is to adapt the increasing usage of biometric systems which can reduce the iris preprocessing and describe iris local properties effectively and have encouraging iris recognition performance. This work presents an efficient algorithm of iris feature extraction based on modified scale invariant feature transform algorithm (SIFT) .

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Sift Algorithm for Iris Feature Extraction

Kinjal M. Gandhi
Kinjal M. Gandhi Tssms Bhivarabai sawant college of engg and research,narhe,pune,pune university
Prof. R.H. Kulkarni
Prof. R.H. Kulkarni

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