Wavelet Energy and Shape Features for Plants Recognition

  • Israa Mohammed Hassoon Department of Computer Science, College of Science, University of Mustansiriyah (UOM), Baghdad, Iraq


     This work presents plants recognition system with rotation invariant based on plant leaf. Wavelet energy features are extracted for sub-images (blocks) beside three of leaf shape features: [area, perimeter, circularity ratio]. (8) species of leaves are used in different size and color, (15) samples for each leaf are used. Leaves images are rotated at angles: 90?, 180?, 270?(counterclockwise,clockwise). Euclidean distance is used, the recognition rate was 98.2% with/without rotation.

May 28, 2018
How to Cite
HASSOON, Israa Mohammed. Wavelet Energy and Shape Features for Plants Recognition. Iraqi Journal of Science, [S.l.], p. 956-962, may 2018. ISSN 2312-1637. Available at: <http://scbaghdad.edu.iq/eijs/index.php/eijs/article/view/335>. Date accessed: 20 apr. 2019.
Computer Science