Efficient Biometric Recognition Methodology using Guided Filtering and SIFT Feature Matching

  • Authors

    • Imran Javeed.S
    • Aanandha Saravanan
    • Rajendra Kumar
    2018-08-04
    https://doi.org/10.14419/ijet.v7i3.1.16789
  • Biometric identification, Finger vein, Gabor filter, Guided Filter, SIFT

  • Abstract

    A novel infrared finger vein biometric identification is proposed using Linear Gabor filter with Guidance image and SIFT feature matching. Linear Gabor filter with guidance image is used for extracting finger vein pattern without segmentation processing and also performs well with some poor quality images due to low contrast, illuminance imbalance or noise etc. Firstly, we utilized Guided Linear Gabor filter for ridge detection as simple Linear Gabor filter and also enhance the image by performing edge preserving smoothing operation. Secondly we utilized SIFT feature matching for verification. A SIFT (Scale Invariant Feature Transform) can extract features to posses rotation invariance and shift invariance for providing better matching rate. The simulation analysis shows our proposed system is an effective feature for finger vein biometric identification.

     

  • References

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  • How to Cite

    Javeed.S, I., Saravanan, A., & Kumar, R. (2018). Efficient Biometric Recognition Methodology using Guided Filtering and SIFT Feature Matching. International Journal of Engineering & Technology, 7(3.1), 23-26. https://doi.org/10.14419/ijet.v7i3.1.16789

    Received date: 2018-08-03

    Accepted date: 2018-08-03

    Published date: 2018-08-04