Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet Transformation
analysis have received significant attention because their multi-resolution decomposition
allows efficient image analysis. It is widely used for varied applications such
as noise reduction, and data compression, etc. In this paper we have introduced
and applied the concept of 2 dimensional Gabor wavelet transform to Biometric
Iris recognition system. The application of this transform in encoding the iris
image for pattern recognition proves to achieve increased accuracy and processing
speed compared to other methods. With a strong scientific approach and mathematical
background we have developed an algorithm to facilitate the implementation of
this method under the platforms of MATLAB
- An introduction: A dictionary defines image as a "reproduction
or representation of the form of a person or thing". The inherent association
of a human with the visual senses, predisposes one to conceive an image as a stimulus
on the retina of the eye, in which case the mechanism of optics govern the image
formation resulting in continuos range, multi-tone images.
digital image can be defined to be a numerical representation of an object or
more strictly to be sampled, quantized function of two dimensions which has been
generated by optical means, sampled in an equally spaced rectangular grid pattern,
and quantized in equal intervals of graylevel.
word is crying out for the simpler access controls to personal authentication
systems and it looks like biometrics may be the answer. Instead of carrying bunch
of keys, all those access cards or passwords you carry around with you, your body
can be used to uniquely identify you. Furthermore, when biometrics measures are
applied in combination with other controls, such as access cards or passwords,
the reliability of authentication controls takes a giant step forward.
OVERVIEW: Biometrics is best defined as measurable physiological and/or
behavioral characteristics that can be utilized to verify the identity of an indivisual.
They include the following: " Iris scanning " Facial recognition
" Fingerprint verification " Hand geometry " Retinal scanning
" Signature verification " Voice verification
OF THE IRIS IDENTIFICATION: " Highly protected internal organ of
the eye. " Iris patterns possess a high degree of randomness. "
Variability: 244 degrees of freedom. " Entropy: 3.2 bits per square millimetre.
" Uniqueness: set by combinatorial complexity. " Patterns apparently
stable throughout life.
IRIS - An introduction:
The iris is a colored ring that surrounds the pupil and contains easily visible
yet complex and distinct combinations of corona, pits, filaments, crypts, striations,
radial furrows and more. The iris is called the "Living password"
because of its unique, random features. It's always with you and can't be stolen
or faked. As such it makes an excellent biometrics identifier.