Authors :
Almukhtar Ahmed
Volume/Issue :
Volume 8 - 2023, Issue 9 - September
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/txra38sy
DOI :
https://doi.org/10.5281/zenodo.8409963
Abstract :
The Genetic Algorithm (GA) is used in this
study to provide an effective approach for matching an
unknown pattern that represents a partial picture with
the original image. This approach makes use of the
chromosomal parameter. It represents location
coordinates (X, Y) that have been converted into a brief
sequence of bits based on the size of the original picture,
allowing for quick matching. The chromosome exists as a
series of binary bits. An example is given to illustrate the
effectiveness of this approach.
Keywords :
Genetic Algorithm, Pattern Matching, Chromosome, MATLAB Results.
The Genetic Algorithm (GA) is used in this
study to provide an effective approach for matching an
unknown pattern that represents a partial picture with
the original image. This approach makes use of the
chromosomal parameter. It represents location
coordinates (X, Y) that have been converted into a brief
sequence of bits based on the size of the original picture,
allowing for quick matching. The chromosome exists as a
series of binary bits. An example is given to illustrate the
effectiveness of this approach.
Keywords :
Genetic Algorithm, Pattern Matching, Chromosome, MATLAB Results.
