Iris Recognition System Using ANFIS Classifier
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 6 Issue 1, January 2017

Iris Recognition System Using ANFIS Classifier

Neelam Sharma, Preeti Singh

A biometric system provides automatic identification of a character based on a unique feature or attribute possessed by the creature. Most practical iris recognition systems use original algorithms developed by Daugman and these algorithms are competent to create perfect recognition rates but not includes time requirement in account and extremely suffered when pupil is illuminated with light intensity. For the efficient pupil detection a morphological bridged canny edge detection technique is proposed, which is especially designed to handle pupil occlusion problem. For the feature selection and mining part, most conventional iris recognition systems relies on wavelet features extracted from rubber sheet model, but the wavelet feature extraction is a complex and time consuming process, to handle this problem in this paper rubber sheet model of iris part is exclusively used as feature. The third and most crucial modification proposed in this paper, is in the feature classification part, after feature space formation using rubber sheet model, ANFIS classifier is used for recognition efficiency.

Keywords: Pupil detection, Canny edge detection, Daugman rubber sheet model, Feature extraction

Edition: Volume 6 Issue 1, January 2017

Pages: 1488 - 1492

Share this Article

How to Cite this Article?

Neelam Sharma, Preeti Singh, "Iris Recognition System Using ANFIS Classifier", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20164427, Volume 6 Issue 1, January 2017, 1488 - 1492

108 PDF Views | 92 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'Canny edge detection'

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 6 Issue 1, January 2017

Pages: 1488 - 1492

Iris Recognition System Using ANFIS Classifier

Neelam Sharma, Preeti Singh

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 2 Issue 1, January 2013

Pages: 532 - 537

Image Clustering using Color Moments, Histogram, Edge and K-means Clustering

Annesha Malakar, Joydeep Mukherjee

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 5 Issue 2, February 2016

Pages: 446 - 450

Personal Authentication Based on Iris Recognition

Law Kumar Singh, Praveen Gupta

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 6 Issue 4, April 2017

Pages: 176 - 180

Data Hiding using Edge-based Image Steganography

Neelam Jaiswal, Rekhansh Rao

Share this Article

Similar Articles with Keyword 'Feature extraction'

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 7, July 2014

Pages: 627 - 632

LoG Feature Extraction Based Photographic Detection

Sujitha B Cherkottu, Smija Das

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 2810 - 2813

Palm Print Recognition System ? Review

Mohit Trehan, Nitin Bhagat

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 8, August 2014

Pages: 1141 - 1146

Offline Hindi Signature Recognition Using Surf Feature Extraction and Neural Networks Approach

Harpreet Kaur, Simarjeet Kaur

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 7, July 2014

Pages: 938 - 943

HCR Using K-Means Clustering Algorithm

Meha Mathur, Anil Saroliya

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 9, September 2014

Pages: 1979 - 1982

Palm Vein Authentication: A Review

Gitanjali Sikka, Er. Vikas Wasson

Share this Article
Top