International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,June 2017,

Topic : Plant identification system using leaf feature Plant

Authors:Ms. Vinutha B T || Arvind Kumar, Chauhan Akash, Nithin M E, Prashanth G D

Abstract:From the beginning of earth survival the plant life begin. Plant affecting in flora and fauna. 70% of plant life found in ocean. Year passes revolutionary happen and human life came to survival. Due to that evolution happen in human life. Man started study on plant life. They got the outcome of their study that plants are being used as survival of human being. After that they started study more about plant and they get to know more about plant and there uses such as it can be used as medicine & etc. Human are totally depends on plant life on the daily bases. But the major occur that extinction of plant. Due to this, it effects on earth by increasing rate of pollution and Ozone layer is getting decreases and UV ray is radiating. Many research happened on plant and it terms as Botany. Here also, we are going to propose the system for identification of a leaf. We are going to extract the features of leaf such as perimeter, area, eccentricity, centroid & etc. It is difficult to recognize whether it is medicinal plant or not. But using a MATLAB it is easy to identify the leaf and their features. In this MATLAB we can capture a real time leaf image using a high pixel camera. After capturing a image it will go under different process. According to DATABASE the leaf id generates and provides its basics features..

Keywords: Leaf classification, color features, image processing, shape and texture features

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DOI: 01.1617/vol4/iss6/pid42615


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Contact : info@ijercse.com


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