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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Recognition of Objects by Using Genetic Programming

Author 1: Nerses Safaryan Author 2: Hakob Sarukhanyan
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 12 · Published 2013

DOI: https://doi.org/10.14569/IJACSA.2013.041219

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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.

Keywords

Terminals Fitness Selection Crossover Mutation Ground Truth

How to Cite this Article

Safaryan, N., & Sarukhanyan, H. (2013). Recognition of Objects by Using Genetic Programming. International Journal of Advanced Computer Science and Applications, 4(12). https://doi.org/10.14569/IJACSA.2013.041219

Safaryan, Nerses, and Hakob Sarukhanyan. "Recognition of Objects by Using Genetic Programming." International Journal of Advanced Computer Science and Applications, vol. 4, no. 12, 2013, https://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},
  volume    = {4},
  number    = {12},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Nerses Safaryan and Hakob Sarukhanyan},
  doi       = {10.14569/IJACSA.2013.041219},
  url       = {https://doi.org/10.14569/IJACSA.2013.041219}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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