Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering

Iris Feature Extraction Algorithm valuation Based on the Fuzzy Integral Evaluation Model

Authors
Jin Liu, ChangMing Liu, Yanjun Sun
Corresponding Author
Jin Liu
Available Online November 2015.
DOI
10.2991/iccmcee-15.2015.153How to use a DOI?
Keywords
Iris Identification; Fuzzy Integral Model; Feature Extraction; Affine
Abstract

Iris Feature Extraction Algorithm Evaluation is an important link of evaluation on iris identification system. For the need of optimal feature extraction algorithm according to the identification, this thesis provides an evaluation scheme based on the fuzzy integral model, and builds a relevant evaluation model, which proves to make a scientific evaluation on the algorithm in the phase of feature extraction.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-110-0
ISSN
2352-5401
DOI
10.2991/iccmcee-15.2015.153How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jin Liu
AU  - ChangMing Liu
AU  - Yanjun Sun
PY  - 2015/11
DA  - 2015/11
TI  - Iris Feature Extraction Algorithm valuation Based on the Fuzzy Integral Evaluation Model
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 837
EP  - 840
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.153
DO  - 10.2991/iccmcee-15.2015.153
ID  - Liu2015/11
ER  -