IRIS RECOGNITION USING IMAGE PROCESSING

Authors

  • Dipak Borde B.E EXTC, THEEM COE
  • Sagar Dunage B.E EXTC, THEEM COE
  • Abhishek Sharma B.E EXTC, THEEM COE
  • Aniruddha Tambe B.E EXTC, THEEM COE
  • Vinod Dhande ASSOCIATE PROFESSOR, THEEM COE

Keywords:

Iris recognition, Algorithm, Segmentation , Evaluation.

Abstract

Iris recognition has been a fast growing, challenging and interesting area in real-time applications. A large
number of iris recognition algorithms have been developed for decades. The paper presents novel Walshlet Pyramid based
iris recognition technique. Here iris recognition is done using the image feature set extracted from Walsh Wavelets at
various levels of decomposition. Analysis was performed of the proposed method, consisting of the False Acceptance Rate
and the Genuine Acceptance Rate. The proposed technique is tested on an iris image database having 384 images. The
results show that Walshlet at level-5 outperforms other Walshlets, because the higher level Walshlets are giving very fine
texture features while the lower level Walshlets are representing very coarse texture features which are less useful for
discrimination of images in iris recognition

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Published

2017-03-25

How to Cite

Dipak Borde, Sagar Dunage, Abhishek Sharma, Aniruddha Tambe, & Vinod Dhande. (2017). IRIS RECOGNITION USING IMAGE PROCESSING. International Journal of Advance Research in Engineering, Science & Technology, 4(3), 277–281. Retrieved from https://ijarest.org/index.php/ijarest/article/view/897

Issue

Vol. 4 No. 3 (2017): Volume: 04, Issue: 03 - March, 2017.

Section

Articles