Combination of Chain Code and Leaf Morphology Approach for Plant Identification

Journal Title: SAR Journal - Science and Research - Year 2019, Vol 2, Issue 3

Abstract

This research will identify plants based on 16 basic leaf shapes. It uses 3 leaf datasets, namely Flavia, Folio and Swedish dataset. The researcher used 12 features that consist of 5 basic geometry features and 7 digital morphological features. Geometry features include physiology length, physiology width, diameter, area, and leaf perimeter while digital morphological features involve smooth factors, aspect ratio, circularity, rectangularity, narrow factor, the ratio between perimeter and diameter combined with chain code in determining the ratio between perimeters and lastly, the length and width of physiology. Accuracy result showed that 98.48% of the plants were correctly identified.

Authors and Affiliations

Oktaviani Oktaviani, Sarifuddin Madenda, Rodiah Rodiah, Diana Tri Susetianingtias, Fitrianingsih Fitrianingsih, Dea Adlina, Rini Arianty

Keywords

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  • EP ID EP643253
  • DOI 10.18421/SAR23-01
  • Views 110
  • Downloads 0

How To Cite

Oktaviani Oktaviani, Sarifuddin Madenda, Rodiah Rodiah, Diana Tri Susetianingtias, Fitrianingsih Fitrianingsih, Dea Adlina, Rini Arianty (2019). Combination of Chain Code and Leaf Morphology Approach for Plant Identification. SAR Journal - Science and Research, 2(3), 89-95. https://europub.co.uk/articles/-A-643253