An algorithm of Iris feature-extracting based on 2D Log-Gabor-Reference-Cited by-同舟云学术

An algorithm of Iris feature-extracting based on 2D Log-Gabor

Published:2019-04-22 Issue:16 Volume:78 Page:22643-22666
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Lv LinTao,Yuan QinQin,Li ZhiXun

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-019-7551-2.pdf

Reference25 articles.

1. Bastos Carlos ACM, Ing RT, Cavalcanti George DC (2010) Analysis of 2D log-Gabor filters to encode iris patterns, vol 2. International Conference on Tools with Artificial Intelligence, Arras, pp 377–378

2. Bastos CACM, Ren TI, Cavalcanti GDC (2012) Iris Segmentation and recognition using 2D log-gabor filters. IDEAL 2012: Intelligent Data Engineering and Automated Learning - IDEAL, pp: 443–450

3. Bhateja AK, Sharma S, Chaudhury S, Agrawal N (2016) Iris recognition based on sparse representation and k-nearest subspace with genetic algorithm. Pattern Recogn Lett 73:13–18

4. Boles WW (2012) Experimental investigation of power consumption in granular segregation. 13th ASCE Aerospace Division Conference on Engineering, Science, Construction, and Operations in Challenging Environments. Pasadena, pp: 111–18.

5. CACM B, Ren TI, GDC C (2012) Iris segmentation and recognition using 2D log-Gabor filters. Lect Notes Comput Sci (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Natal, Brazil 2012:443–450

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