Recognition of Objects by Using Genetic Programming
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 12
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.
Authors and Affiliations
Nerses Safaryan, Hakob Sarukhanyan
Keywords
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- EP ID EP104867
- DOI 10.14569/IJACSA.2013.041219
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