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A bark recognition algorithm for plant classification using a least square support vector machine | IEEE Conference Publication | IEEE Xplore

A bark recognition algorithm for plant classification using a least square support vector machine

Publisher: IEEE

Abstract:

In this paper, a bark recognition algorithm for plant classification is presented. A Least-Square Support Vector Machine (LSSVM) with image and data processing techniques...View more

Abstract:

In this paper, a bark recognition algorithm for plant classification is presented. A Least-Square Support Vector Machine (LSSVM) with image and data processing techniques is used to implement a general purpose automated classifier. Using a data base of 40 sections of photographs taken of each of the 23 species, we applied an algorithm to homogenize the illumination of the images. After applying it, we obtained a 256-elements array from the Local Binary Pattern (LBP) histogram. Each element of the array was introduced in the LSSVM for classification. The success rate of the resultant recognizer is 82.38%.
Date of Conference: 11-13 August 2016
Date Added to IEEE Xplore: 20 March 2017
ISBN Information:
Publisher: IEEE
Conference Location: Noida, India

References

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