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Simulation of Grey Wolf Optimization Algorithm to Distinguish Between Modigliani’s and His Contemporaries

  • Laheeb Mohammed IbrahimEmail author
  • AbdulSattar Ahmad Al-AlusiEmail author
Conference paper
Part of the Advances in Science, Technology & Innovation book series (ASTI)

Abstract

The process to identify the real painting of an artist is considered a difficult task and needs expert and time to do this operation. This paper presents an automated system to simulate Grey Wolf Optimization Swarm Intelligence Algorithm to distinguish between Modigliani’s paintings and his contemporaries is designed and tested. An automated system to distinguish between Modigliani’s painting and his contemporaries consists of three processing steps. In the first step, the digital paintings for Modigliani and his contemporaries are processed automatically, the second step is feature extraction step, and the last step is the recognition step used Grey Wolf algorithm. An automated system that simulates the Grey Wolf Optimization Algorithm to distinguish between Modigliani’s paintings and his contemporaries has been developed and tested. The testing results show that the rate of the difference is 91.5%.

Keywords

Simulation Grey wolf optimization algorithm Swarm intelligence Pattern recognition Feature extraction Bicubic interpolation method A histogram of oriented gradients (HOG) 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.College of Computer Science & MathematicsMosul UniversityMosulIraq
  2. 2.American University in the EmiratesDubaiUAE

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