Multibiometric authentication with MATLAB simulation

  • Authors

    • P Selvarani
    • N Malarvizhi
    2018-02-05
    https://doi.org/10.14419/ijet.v7i1.7.9389
  • Fingerprint Recognition, Iris Recognition, Precision, Recall, Fscore, Accuracy.

  • Abstract

    Multimodal Biometric Authentication has been used as more security purpose for establishing the user Identification, Authentication and Verification purpose. Multimodal Biometric like Fingerprint and iris are used in this research work for authentication purpose using Matlab simulation. Fingerprint recognition process like Image Enhancement, binarization, Segmentation, thinning, Minutia marking, and Matching are performed with various techniques like Histogram Equalization, Adaptive Binarization, Morphological operations, Minutiae based techniques etc.,Iris recognition process like Segmentation, Normalization, Encoding and Matching are performed with various techniques like Canny edge detection, Daughman’s Rubber sheet model, Hamming Distance etc., can be applied for Fingerprint and iris recognition for authentication purpose. Finally Performance the measure of Precision, Recall, F-Score and Accuracy has evaluated in both fingerprint and iris. It can be concluded Iris Accuracy is higher 0.96% compared with fingerprint accuracy 0.81%.

  • References

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  • How to Cite

    Selvarani, P., & Malarvizhi, N. (2018). Multibiometric authentication with MATLAB simulation. International Journal of Engineering & Technology, 7(1.7), 47-50. https://doi.org/10.14419/ijet.v7i1.7.9389

    Received date: 2018-02-04

    Accepted date: 2018-02-04

    Published date: 2018-02-05