DWT based approach for steganography using biometrics


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It is a form of secure communication of data using biometrics

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DWT based approach for steganography using biometrics

  1. 1. Guided by: V. Sree lakshmi (Snr Assistant Professor) Submitted By : N.S.Srimadhur(10B81A04A0) D.Sri Hari Priya(10B81A0499) D.Vishwa Teja(10B81A04D8)
  2. 2.  Steganography is the art of hiding the existence of data in another transmission medium to achieve secret communication. It does not replace cryptography but rather boosts the security using its obscurity features.  The word steganography is of Greek origin and means "concealed writing" from the Greek words steganos meaning "covered or protected", and graphein meaning "writing".  “Steganography means hiding one piece of data within another”.
  3. 3.  Steganography method used in this paper is based on biometrics.  Here secret data is embedded within skin region of image that will provide an excellent secure location for data hiding.  For this skin tone detection is performed using HSV (Hue, Saturation and Value) color space.  Additionally secret data embedding is performed using frequency domain approach - DWT (Discrete Wavelet Transform).
  4. 4.  Carrier or Cover File - A Original message or a file in which hidden information will be stored inside of it .  Stego-Medium - The medium in which the information is hidden.  Embedded or Payload - The information which is to be hidden or concealed.  Steganalysis - The process of detecting hidden information inside a file.
  5. 5. Carrier Image Image to be embedded
  6. 6.  Proposed method introduces a new method of embedding secret data within skin as it is not that much sensitive to HVS (Human Visual System).  This takes advantage of Biometrics features such as skin tone, instead of embedding data anywhere in image, data will be embedded in selected regions.
  7. 7. Types of morphological operations:  Dilation  Erosion  Opening  Closing
  8. 8. The structuring element taken here is disk structure of radius r= 3 Neighborhood: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
  9. 9.  It is typically applied to binary images, but there are versions that work on gray scale images.  The erosion of A by the structuring element B is defined by:  The erosion of A by B is the set of all displacements, z, such that and A if atleast 1 element coincides with background value then that value sets to background pixel. Common Names: Erode, Shrink, Reduce
  10. 10.  It is typically applied to binary images, but there are versions that work on gray scale images.  The dilation of A by the structuring element B is defined by:  The dilation of A by B is the set of all displacements, z, such that and A overlap by at least 1 element Thus, Set B is referred to as the structuring element in dilation. Common Names: Dilate, Grow, Expand
  11. 11. Opening: smooth the contour of an object, break narrow isthmuses, and eliminate thin protrusions. The opening A by B is the erosion of A by B, followed by a dilation of the result by B Closing: smooth sections of contours but it generally fuses narrow breaks and long thing gulfs, eliminates small holes, and fills gaps in the contour.
  12. 12. DWT splits component into numerous frequency bands called sub bands known as  LL – Horizontally and vertically low pass  LH – Horizontally low pass and vertically high pass  HL - Horizontally high pass and vertically low pass  HH - Horizontally and vertically high pass.  we hide secret message in other three parts without making any alteration in LL sub band. DWT used in this work is Haar-DWT, the simplest DWT.
  13. 13. Cropped image Perfor m DWT Embeddi ng in B- plane Secret logo Perform IDWT Croppe d stego image Merging with original image Stego image
  14. 14. Load stego image Perform skin detectio n Crop the image Perform DWT retrievalSecret data
  15. 15.  The phrase peak signal-to-noise ratio, often abbreviated PSNR, is an engineering term for the ratio between the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation.
  16. 16. The health care, and especially medical imaging systems, may very much benefit from information hiding techniques. It is used for DIGITAL SIGNATURE AUTHENTICATION to prevent malicious tampering of private and confidential documents. These documents include company memos, Emails and letters. It can also be implemented for identity proofs as personal details can be embedded in face.
  17. 17. In this paper biometric steganography is presented that uses skin region of images in DWT domain for embedding secret data. By embedding data in only certain region (here skin region) and not in whole image security is enhanced. Also image cropping concept introduced, maintains security at respectable level since no one can extract message without having value of cropped region.
  18. 18. Any queries ?