• G. GOPALA KRISHNAN
• DR.D. CHITRA
• MONICA.S

The leaves of a plant having unique properties and it will be different from that of other leaves. So leaf recognition can represent a tree or plant recognition. This report describes some of the findings of currently published work in the area of leaf recognition. From these we are aiming to create a good leaf recognition system. Leaf Images acquired first goes for preprocessing. Then some relevant features are extracted. Our objective is to extract feature based on fractal dimensions. A fractal has been defined as a rough or fragmented geometric shape that can be split into parts, each of which is reduced-size copy of the whole. For classification a new learning algorithm called extreme learning machine (ELM) for single-hidden layer feed forward neural networks (SLFNs) which randomly chooses hidden nodes and analytically determines the output weights of SLFNs will be experimented using for the better result.

Leaf recognition, Extreme Learning Machine, Single-Hidden Layer Feed Forward Neural Networks

"RECOGNITION OF FRACTAL DIMENSION OF MEDICAL PLANT LEAVES BY USING TECHNIQUES OF IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.a1-a9, July-2021, Available :http://www.jetir.org/papers/JETIR2107001.pdf

"RECOGNITION OF FRACTAL DIMENSION OF MEDICAL PLANT LEAVES BY USING TECHNIQUES OF IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppa1-a9, July-2021, Available at : http://www.jetir.org/papers/JETIR2107001.pdf