학술논문
Automatic Plant Leaf Classification Based on Back Propagation Networks for Medical Applications
Document Type
Chapter
Author
Das, Kedar Nath, Editor; Bansal, Jagdish Chand, Editor; Deep, Kusum, Editor; Nagar, Atulya K., Editor; Pathipooranam, Ponnambalam, Editor; Naidu, Rani Chinnappa, Editor; Saranya, Karattupalayam Chidambaram; Goyal, Apoorv; Kacprzyk, Janusz, Series Editor; Pal, Nikhil R., Advisory Editor; Bello Perez, Rafael, Advisory Editor; Corchado, Emilio S., Advisory Editor; Hagras, Hani, Advisory Editor; Kóczy, László T., Advisory Editor; Kreinovich, Vladik, Advisory Editor; Lin, Chin-Teng, Advisory Editor; Lu, Jie, Advisory Editor; Melin, Patricia, Advisory Editor; Nedjah, Nadia, Advisory Editor; Nguyen, Ngoc Thanh, Advisory Editor; Wang, Jun, Advisory Editor
Source
Soft Computing for Problem Solving : SocProS 2018, Volume 2. 01/01/2020. 1057:981-991
Subject
Language
English
ISSN
2194-5357
2194-5365
2194-5365
Abstract
Recognition of medicinal leaves has been a skill that is passed down ages. Being a skill of great importance, it can help the community if the use of the skill can be generalized. In this paper, a review of an intelligent recognition system is presented to classify different types of leaves (40 classes of leaves) using back propagation neural network and the system presents a very good accuracy. At the end, the portability and ease of use of the system are demonstrated as a GUI making the system user-friendly and rendering it ready to use.