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

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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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  -