Iris feature extraction through wavelet mel-frequency cepstrum coefficients-Reference-Cited by-同舟云学术

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Iris feature extraction through wavelet mel-frequency cepstrum coefficients

Published:2019-02 Issue: Volume:110 Page:13-23
ISSN:0030-3992
Container-title:Optics & Laser Technology
language:en
Short-container-title:Optics & Laser Technology

Author:

Barpanda Soubhagya Sankar,Majhi Banshidhar,Sa Panjak Kumar,Sangaiah Arun Kumar,Bakshi Sambit

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference59 articles.

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2. The importance of being random: statistical principles of iris recognition;Daugman;Pattern Recogn.,2003

3. Iris recognition: an emerging biometric technology;Wildes;Proc. IEEE,1997

4. Y.-P. Huang, S.-W. Luo, E.-Y. Chen, An efficient iris recognition system, in: International Conference on Machine Learning and Cybernetics, 2002, pp. 450–454. https://doi.org/10.1109/ICMLC.2002.1176794.

5. Y. Liu, S. Yuan, X. Zhu, Q. Cui, A practical iris acquisition system and a fast edges locating algorithm in iris recognition, in: 20th IEEE Conference on Instrumentation and Measurement Technology, 2003, pp. 166–168. https://doi.org/10.1109/IMTC.2003.1208145.

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