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Proceedings Paper

Durio Zibethinus ripeness determination and variety identification using principal component analysis and support vector machine
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Paper Abstract

The purpose of this paper is to determine the ripeness level and identify the variety of the Durian fruit through image processing using Principal Component Analysis (PCA) and Support Vector Machine (SVM) algorithms. The ripeness level is classified into three stages: unripe, ripe, and overripe. There are numerous varieties of durian available in the Philippines, and this study specifically uses Puyat, Arancillo, Cob, Davao Selection and UPLB Gold varieties. The study used 100 durian fruits, 80% of which were used for data training while the 20% were used for data testing. The study yields 95% overall accuracy and 5% misclassification rate.

Paper Details

Date Published: 6 May 2019
PDF: 6 pages
Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110691N (6 May 2019); doi: 10.1117/12.2524286
Show Author Affiliations
Jessie R. Balbin, Mapúa Univ. (Philippines)
Judy Ann I. Alday, Mapúa Univ. (Philippines)
Charmine O. Aquino, Mapúa Univ. (Philippines)
Mae Flor G. Quintana, Mapúa Univ. (Philippines)


Published in SPIE Proceedings Vol. 11069:
Tenth International Conference on Graphics and Image Processing (ICGIP 2018)
Chunming Li; Hui Yu; Zhigeng Pan; Yifei Pu, Editor(s)

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