Wavelet Energy and Shape Features for Plants Recognition

Israa Mohammed Hassoon

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

Keywords: Shape Features, Leaf Shape, Sub-Images, Wavelet Transform, Wavelets Energy

Abstract

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.