Leaves recognition system using a neural network

被引：16

作者：

Sekeroglu, Boran ^{[1
]}

Inan, Yucel ^{[1
]}

机构：

[1] Near East Univ, Dept Comp Engn, POB 99138,Mersin 10, Nicosia, North Cyprus, Turkey

来源：

12TH INTERNATIONAL CONFERENCE ON APPLICATION OF FUZZY SYSTEMS AND SOFT COMPUTING, ICAFS 2016 | 2016年 / 102卷

关键词：

Intelligent systems; leaf recognition; back propagation; neural networks;

D O I：

10.1016/j.procs.2016.09.445

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Leaf recognition has been gained an importance since the increment of intelligent applications in different platforms such as desktop and mobile. Each leaf contains unique distinct pattern on it that provides effective input for neural networks in order to recognize the type of the leaf correctly. In this paper, intelligent recognition system is presented to recognize and identify 27 different types of leaves using back propagation neural network and results show that the developed system is superior to recent researches with the recognition rate of 97.2%. (C) 2016 The Authors. Published by Elsevier B.V.

引用

页码：578 / 582

页数：5