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Published in:

Volume 7 Issue 3
March-2020
eISSN: 2349-5162

Unique Identifier

JETIR2003048

Page Number

304-308

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Title

Iris Segmentation using feature extraction with Hough Transform

ISSN

2349-5162

Cite This Article

"Iris Segmentation using feature extraction with Hough Transform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.304-308, March-2020, Available :http://www.jetir.org/papers/JETIR2003048.pdf

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Abstract

Iris segmentation is a critical stage in the whole iris recognition process. In this paper, a procedure of iris segmentation is presented which was designed on the basis of the natural properties of the iris. In the suggested work,Using Hough Transform and Daugman and purpose of the technique is to identify imperfect instances of objects through a voting procedure within a certain class of shapes. The proposal of image processing using Daugman algorithm detects the iris boundaries with high accuracy in high-quality images. Additional preprocessing of images has improved the performance of the algorithm on the lower-quality images.

Key Words

Hough Transform,Image Processing,Iris Segmentation,Daugman Algorithm,PCA

Cite This Article

"Iris Segmentation using feature extraction with Hough Transform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp304-308, March-2020, Available at : http://www.jetir.org/papers/JETIR2003048.pdf

Publication Details

Published Paper ID: JETIR2003048
Registration ID: 229384
Published In: Volume 7 | Issue 3 | Year March-2020
DOI (Digital Object Identifier):
Page No: 304-308
ISSN Number: 2349-5162

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Cite This Article

"Iris Segmentation using feature extraction with Hough Transform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp304-308, March-2020, Available at : http://www.jetir.org/papers/JETIR2003048.pdf




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