Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 23
Page No. 4934 - 4944

Identification of Medical Plants Using Genetic Algorithm and Recurrent Neural Network

Authors : S. Malarkhodi

Abstract: Medicinal leaves widely used in medicine, cosmetic and pharamastic cosmetic industry. Medicinal leaves are verge of extinction. Presently identification of the type of medicinal leaves is still done manually and it will be occur to human error. Leaves are the key components of plants. The leaf extracts of many medicinal plants can cure various diseases and alternating for allopathic medicinal system now a days. In this method an extraction of shape, color, morphology and texture features from leaf image. Next step is using Genetic algorithm to feature selection process. Final step training a Recurrent Neural Network (RNN) classifier and Support Vector Machine (SVM) to display the leaf name and uses. The results of the flavia database leaf achieved an average accuracy is 95.53% from the ACO-based approach. Same method used to find medical leaf using Genetic Algorithm an average accuracy is 91.30%. This research has been implemented using the image processing and neural network toolbox in MATLAB.

How to cite this article:

S. Malarkhodi , 2016. Identification of Medical Plants Using Genetic Algorithm and Recurrent Neural Network. Asian Journal of Information Technology, 15: 4934-4944.

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