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

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.