Effective Iris Recognition System by Optimized Feature Vectors and Classifier

Lim, Shinyoung; Lee, Kwanyong; Byeon, Okhwan; Kim, Tai-Yun

doi:10.1007/3-540-45331-8_34

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2014

2015

Publication Types

Select...

Other1

Article1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

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

Liu¹,

Chang-ming²,

Sun³

2015

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

View full text Add to dashboard Cite

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.

show abstract

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

Liu¹,

Chang-ming²,

Sun³

2015

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

View full text Add to dashboard Cite

show abstract

Iris Feature Extraction Based on the Fuzzy Clustering Evaluation Algorithm

Liu¹,

Liu²,

Sun³

2014

AMM

View full text Add to dashboard Cite

In the iris recognition, as the texture feature of iris is complicated , and it is affected by the acquisition environment, time, condition and other factors, so it is difficult to express its complete information in single features of iris. Therefore, the combination of a variety of features or integration of expression and recognition method becomes a new kind of choice. Information integration concept originated in the 1970s. In recent years, because of the gradually in-depth recognition of people, the application of information integration technology in the pattern recognition becomes a hot spot of the research, especially when the single pattern cannot complete various aspects of requirements well in the pattern recognition, the adoption of integration technology can integrate various aspects of information provided by multi-pattern features, so as to obtain more comprehensive and accurate information of the recognized objects and overcome the limitations of recognition method through single-pattern feature, thus getting a satisfactory effect.

show abstract

Effective Iris Recognition System by Optimized Feature Vectors and Classifier

Cited by 2 publications

References 11 publications

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

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

Iris Feature Extraction Based on the Fuzzy Clustering Evaluation Algorithm

Contact Info

Product

Resources

About