A Method for Plant Classification Based on Artificial Immune System and Wavelet Transform

Leaves recognition plays an important role in plant classification. Its key issue lies in whether selected features are stable and have good ability to discriminate different kinds of leaves. In this paper, we propose a novel method of plant classification from leaf image set based on artificial immune system (AIS) and wavelet transforms. AISs are a type of intelligent algorithm; they emulate the human defense mechanism and they use its principles, to give them the power to be applied as a classifier. In addition, the wavelet transform offers fascinating features for texture classification. Experimental results show that using artificial immune system and wavelet transform to recognize leaf plant image is possible, and the accuracy of recognition is encouraging.