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  Published Paper Details:

  Paper Title

ENHANCED FINGERPRINT CLASSIFICATION BASED ON COMPRESSED GIST ON DWT

  Authors

  Vasantha Kumara M,  Dr. Mohamed Rafi

  Keywords

  Abstract


Abstract: In this paper, we propose enhanced fingerprint recognition based on compressed GIST concept on DWT. The fingerprint database of FVC 2004 is considered to test the proposed algorithm and only fingerprint part in an image is cropped and Histogram Equalization (HE) is applied. The cropped HE image is resized to 400 x 400 and Discrete Wavelet Transform (DWT) is used to convert spatial domain to transform domain with low and high frequency bands. The low-frequency LL-band of size 200 x 200 is considered by discarding the high frequency bands of LH, HL and HH of each size 200 x 200 to enhance image quality with reduced dimensionality. The GIST concept is used on LL band to obtain final features. The Support Vector Machine (SV M) is used to classify images in the database. It is seen that the recognition rate of proposed method is better compared to the existing methods.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT21A6059

  Paper ID - 207989

  Page Number(s) - j674-j683

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.38805

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Vasantha Kumara M,  Dr. Mohamed Rafi,   "ENHANCED FINGERPRINT CLASSIFICATION BASED ON COMPRESSED GIST ON DWT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.j674-j683, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT21A6059.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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