Fingerprint Recognition Using Gabor Filter And Frequency Domain Filtering

@article{Gopi2012FingerprintRU,
  title={Fingerprint Recognition Using Gabor Filter And Frequency Domain Filtering},
  author={K. Gopi},
  journal={IOSR Journal of Electronics and Communication Engineering},
  year={2012},
  volume={2},
  pages={17-21}
}
  • K. Gopi
  • Published 2012
  • Computer Science
  • IOSR Journal of Electronics and Communication Engineering
Fingerprint recognition is one of the most popular methods used for identification with greater degree of success. The fingerprint has unique characteristics called minutiae, which are points where a curve track finishes, intersect or branches off. In this work a novel method for Fingerprint recognition is considered using a combination of Fast Fourier Transform (FFT) and Gabor Filters to enhancement the image. The proposed method involves combination of Gabor filter and Frequency domain… 
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19 Citations
Background Citations
2
Methods Citations
7

19 Citations

AN ENHANCEMENT ALGORITHM USING GABOR FILTER FOR FINGERPRINT RECOGNITION 1 EINAS

An enhancement algorithm using Gabor filter based matching to capture both local and global details in a fingerprint as a compact fixed-length Fingercode is introduced and based on the result, it gives higher accuracy and recognition rate.

Fingerprint Recognition and feature extraction using transform domain techniques

  • Kavita TewariRenu L. Kalakoti
  • Computer Science
    2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)
  • 2014
Comparison of all the four transform is presented here and it is observed that DCT and DFT gives better result as compared to DWT and Gabor filter.

Fingerprint Image Enhancement based on Threshold Fast Discrete Curvelet Transform (FDCT) and Gabor Filters

New efficient fingerprint image enhancement algorithm works by performing threshold on Fast Discrete Curvelet Transform (FDCT) domain and applying Gabor Filters, which reduces the fingerprint image noise by using threshold fast discrete curvelet transform, then apply Gabor filters to enhance and increase the clarity of the image.

An Accurate and Fast Automatic Fingerprints Verification Technique

The simulation results achieved up to 98 % verification rate and proved that the proposed technique can be used in a reliable way for automatic fingerprint verification in the presence of image blurring or rotation.

Computer Aided Technique for Finger Print Image Enhancement and Minutiae Extraction

This paper presents the feature extraction of fingerprint image processing stages such as image Preprocessing, Converting the image in to gray scale, Image Enhancement can be performed with the help of Discrete Fourier transformation, image Binarization, image segmentation, image thinning, Minutiae Extraction after Minutia Extraction again segmentation technique is used.

A Comparative Study of Fingerprint Enhancement Algorithms

The work performed on the database of fingerprint image acquired with a sensor is shown and the qualities of the reconstructed image are compared using Mean Square Error, Signal Pick to Noise Ratio…etc.

Modelling and Simulation of Robust Biometric Fingerprint Recognition Algorithm

An alignment-based matching algorithm was developed for minutia matching that was able to accurately differentiate between genuine users and imposter irrespective of the orientation and noise level of the fingerprints.

Feature level fusion of face and fingerprint modalities using Gabor filter bank

Experimental results showcase the advantages of feature level fusion over a uni-modal framework and the system achieves recognition accuracy up to 99.25%.

A n Accurate and Fast Automatic Fingerprints Verificat ion Technique

The simulation results achieved up to 98 % verification rate and proved that the proposed technique can be used in a reliable way for automatic fingerprint verification in the presence of image blurring or rotation.

MULTI-MODAL BIO-METRIC AUTHENTICATION USING GABOR AND CANNY FILTERING METHOD

The proposed system uses fingerprint and iris biometric features for authentication purpose with Gabor and Canny filtering method and achieved 96% accuracy with 100 samples tested, thus proposed system can be used in banks, secure government documents and military operations etc.

References

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