Pattern Recognition Using the Concept of Disjoint Matrix of MIMO System
Mezbahul Islam1,
Rahmina Rubaiat1, Imdadul Islam1, Mostafizur
Rahaman1, and Mohamed Ruhul Amin2
1Department of Computer Science and Engineering, Jahangirnagar
University, Bangladesh
2Department of
Electronics and Communications Engineering, East West University, Bangladesh
Abstract: In many applications, it is necessary
to compare two or more images to identify the originality of them. For example,
verification of fake logo of an organization or fake signature of an official
can be considered in this context. The cross correlation and wavelet transform
are widely used techniques to compare two images but they are low sensitive to
awgn noise and very small change in the image. Different learning algorithms
for example Principle Component Analysis (PCA)
are prevalent for this purpose at the expense of process time. In this
paper we apply the concept of uncorrelated Multiple Input Multiple Output(MIMO)
channel of wireless link on different images such that received signal vector
corresponding to the largest six eigen values will reflect the characteristics
of the images. In this paper, three types of images: human face with
background, fingerprint and human signature are considered for identification
and the proposed model shows rigidity in identification of the image under
rotation and noise contamination.
Keywords: Uncoupled
Multiple Input Multiple
Output links, eigenvalues, unitary matrix, noise and channel matrix.
