Plant Leaf Recognition Using Competitive Based Learning Algorithm

E.M. Imah; Y.S. Rahayu; A. Wintarti

doi:10.1088/1757-899X/288/1/012058

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Plant Leaf Recognition Using Competitive Based Learning Algorithm

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E.M. Imah, Y.S. Rahayu, A. Wintarti

2018 IOP Conference Series: Materials Science and Engineering Vol. 288 Issue 1 Conference paper Cited by 3 SDG 15

Abstract

Plant recognition based on digital leaf image has received as particular attention in computer vision and intelligence system, due its important implication in automatic plant identification. Plant species have the unique leaf characteristics such as the shape, texture, margin, and colour, which different each other. This study presents a novel method for automation plant recognition using Generalized Relevance Learning Vector Quantization (GRLVQ). GRLVQ is a competitive based learning algorithm which is integrating features extraction and classification phases. The experimental result shows that GRLVQ has better performance than the predecessor algorithm. © Published under licence by IOP Publishing Ltd.

Affiliations

Mathematics Department, Universitas Negeri Surabaya, Surabaya, East-Java, Indonesia; Biology Department, Universitas Negeri Surabaya, Surabaya, East-Java, Indonesia

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