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  Published Paper Details:

  Paper Title

APPROACH FOR FACE SPOOF DETECTION USING KNN CLASSIFIER

  Authors

  SAKSHI JHA,  DR. NEETU SHARMA

  Keywords

Face spoof detection, SVM, KNN, DWT

  Abstract


In order to classify the spoofed as well as non-spoofed faces from images, the face spoof detection technique has been proposed. In order to analyze the textual features present within a test image, the DWT algorithm is applied. In order to classify the spoofed and non-spoofed features, the already existing approach used SVM classifier. However, the accuracy of results needs to be enhanced in the proposed work in order to identify the spoofed daces. In order to analyze the proposed approach, comparisons are made amongst the proposed and existing mechanisms in terms of accuracy and execution time.

  IJCRT's Publication Details

  Unique Identification Number - IJPUB1802116

  Paper ID - 187702

  Page Number(s) - 704 - 708

  Pubished in - Volume 6 | Issue 2 | May 2018

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  SAKSHI JHA,  DR. NEETU SHARMA,   "APPROACH FOR FACE SPOOF DETECTION USING KNN CLASSIFIER ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.704 - 708, May 2018, Available at :http://www.ijcrt.org/papers/IJPUB1802116.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


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