An Amalgamated Strategy for Iris Recognition Employing Neural Network and Hamming Distance-Reference-Cited by-同舟云学术

An Amalgamated Strategy for Iris Recognition Employing Neural Network and Hamming Distance

Published:2016 Issue: Volume: Page:739-747
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Pandey Madhulika

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-2752-6_73

Reference17 articles.

1. de Martin-Roche, D., Carmen Sanchez-Avila, and Raul Sanchez-Reillo. “Iris recognition for biometric identification using dyadic wavelet transform zero-crossing.” Security Technology, 2001 IEEE 35th International Carnahan Conference on. IEEE, 2001.

2. Chirchi, Vanaja Roselin E., Dr LM Waghmare, and E. R. Chirchi. “Iris Biometric Recognition for Person Identification in Security Systems. “International Journal of Computer Applications (0975–8887) 24.9 (2011): 1–6.

3. Meetei, Thiyam Churjit, and Shahin Ara Begum. “A Comparative Study of Feature Extraction and Classification Methods for Iris Recognition. “International Journal of Computer Applications 89 (2014).

4. Flom, L., and Safir, A., “Iris Recognition System,” US Patent 4 641 394, 1987.

5. Daftry, Shreyansh. “Artificial Neural Networks based Classification Technique for Iris Recognition.” International Journal of Computer Applications 57.4 (2012).

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving identification performance in iris recognition systems through combined feature extraction based on binary genetics;SN Applied Sciences;2019-06-15

2. Enacting Segmentation Algorithms for Classifying Fish Species;Innovations in Computer Science and Engineering;2017

3. A proposed quantitative approach to classify brain MRI;International Journal of System Assurance Engineering and Management;2016-05-20