Iris Feature Extraction Methods Overview

  • Authors

    • Ms. Swati D. Shirke
    • Dr. C. Rajabhushanam
    2018-12-13
    https://doi.org/10.14419/ijet.v7i4.39.23713
  • IRIS Recognition, PCA, LDA, segmentation, Normalization, feature extraction.

  • Abstract

    Iris reorganization remains one of the superlative recognition techniques in Biometrics system, for human Identification and authentication purpose we can use IRIS Recognition technique by using machine learning technologies. Machine Learning helps us find solutions of many problems in computer vision and recognition techniques [1] .Iris recognition task not only effortlessly but also every day we recognize our friends, relative as well as family members. We also recognition by using persons IRIS pattern composed of a particular combination of features. The main process in IRIS Recognition system is feature learning i.e. a set of techniques that learn feature [2][3]. This Paper deals with: Dimension Reduction techniques for IRIS feature Extraction.

     

     

     

  • References

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  • How to Cite

    Swati D. Shirke, M., & C. Rajabhushanam, D. (2018). Iris Feature Extraction Methods Overview. International Journal of Engineering & Technology, 7(4.39), 90-93. https://doi.org/10.14419/ijet.v7i4.39.23713

    Received date: 2018-12-12

    Accepted date: 2018-12-12

    Published date: 2018-12-13