Hiding fingerprints in facial features using DCT
Keywords:
face recognition, Steganography, face features, minutiae finger print, DCT.Abstract
The need to use a biometric authentication systems in many applications because we need to provide
adequate protection for the sensitive personal data that the systems deal with increases to prevent
potential attacks that could harm the widespread use of biometric systems.
The goal of this research is to provide a high level of biometric data security for a face and ten
fingerprint biometric system. All cloaking techniques that deal with the face image hide the fingerprint
data at the image level and produce a stego-image. The researcher proposes a new methodology to hide
the data of ten fingerprints in templates .The face is at the feature level rather than the image level.And
also a new encryption algorithm based on the idea of MESR combined with DCT to encrypt the details of
the fingerprint before hiding it. As a result, alternative methods such as encryption are required to
safeguard the features, which necessitates the creation of extra accounts .The researcher proposes the
following solutions to alleviate these disadvantages Where the output was extracted using the proposed
method of DCT(Discrete cosine transform) and MESR(maximally stable extremal regions) to hide
fingerprints in the features of the face, as well as used the proposed method for de-masking using IDCT,
and the results were 100% identical when de-hiding.
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