Some neighborhood operations work with the values of the image
pixels in the neighborhood and
the corresponding values of a sub image that has the same
dimensions as the neighborhood. The sub image is called a filter, mask, kernel,
template, or window, with
the first three terms being the most prevalent terminology. The values in a
filter sub image are referred to as coefficients, rather
than pixels. The process consists simply of moving the filter mask from
point to point in an image. At each point (x, y), the response of the filter at
that point is calculated using a predefined relationship.
Thursday, 19 June 2014
Thursday, 12 June 2014
MATLAB code of Analysis of LSB Based Steganography.
INTRODUCTION:
Information
hiding in digital images has drawn much attention in recent years. Secret
message encrypted and embedded in digital cover media. The redundancy of
digital media, as well as characteristics of the human visual system, makes it
possible to hide secret messages. Two competing aspects are considered while
designing information hiding scheme
1) Hiding
capacity and
2)
Imperceptibility.
Tuesday, 10 June 2014
MATLAB code for Iris Recognition system (DCT Based).
INTRODUCTION:
A biometric
system provides automatic recognition of an individual based on some sort of
unique feature or characteristic possessed by the individual. Biometric systems
have been developed based on fingerprints, facial features, voice, hand geometry,
handwriting, the retina, and the one presented in this thesis, the iris.
Biometric systems work by first capturing a sample of the feature, such as
recording a digital sound signal for voice recognition, or taking a digital color
image for face recognition.
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