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  Published Paper Details:

  Paper Title

PRINTED ID FACIAL IMAGE STEGANOGRAPHY TO PREVENT PHOTOGRAPH SUBSTITUTION ATTACK

  Authors

  L.Paul Prabahar,  E.Vignesh,  B.Rithish

  Keywords

Deep Convolutional Auto Encoder and Decoder, Recurrent Neural Network, Binary Error Correction Code Algorithm, Document Identity Verifier

  Abstract


IDs and MRTDs (Identification and Machine- Readable Travel Documents) are used to perceive and authenticate identities in numerous situations which include crossing countrywide borders, in civil applications, income and shopping portals, or admission to transaction processing structures. These files have numerous safety functions which mitigate and fight record forgery. As those safety structures are tough to circumvent, crook assaults on ID verification structures are actually specializing in fraudulently acquiring true files and the manipulation of the facial portraits. To lessen dangers associated with this fraud problem, it's far essential the ones governments and producer of IDs and MRTDs constantly increase and enhance safety measures. With this in mind, we introduce the primary green steganography method StegoFace is an cease-to-cease facial photo steganography version this is fashioned through n Deep Convolutional Auto Encoder, that could cover a mystery message in a face portrait and, hence, generating the stego facial photo, and a Deep Convolutional Auto Decoder, that's capable of study a message from the stego facial photo.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT22A6316

  Paper ID - 221048

  Page Number(s) - c648-c655

  Pubished in - Volume 10 | Issue 6 | June 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  L.Paul Prabahar,  E.Vignesh,  B.Rithish,   "PRINTED ID FACIAL IMAGE STEGANOGRAPHY TO PREVENT PHOTOGRAPH SUBSTITUTION ATTACK", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.c648-c655, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6316.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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