Abstract: This document is devoted to the task of object detection and recognition in digital images by using genetic programming. The goal was to improve and simplify existing approaches. The detection and recognition are achieved by means of extracting the features. A genetic program is used to extract and classify features of objects. Simple features and primitive operators are processed in genetic programming operations. We are trying to detect and to recognize objects in SAR images. Due to the new approach described in this article, five and seven types of objects were recognized with good recognition results.

Nerses Safaryan and Hakob Sarukhanyan, “Recognition of Objects by Using Genetic Programming” International Journal of Advanced Computer Science and Applications(IJACSA), 4(12), 2013. http://dx.doi.org/10.14569/IJACSA.2013.041219

@article{Safaryan2013,
title = {Recognition of Objects by Using Genetic Programming},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.041219},
url = {http://dx.doi.org/10.14569/IJACSA.2013.041219},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {12},
author = {Nerses Safaryan and Hakob Sarukhanyan}
}