Leaf Recognition Using Convolutional Neural Networks Based Features

TL;DR

This paper presents a novel leaf recognition method combining feature extraction, neural network encoders, and SVM classification, achieving state-of-the-art accuracy on the Flavia dataset.

Contribution

It introduces an integrated approach that extracts multiple leaf features and transforms them with neural networks before classification, surpassing previous methods.

Findings

Achieved 99.58% accuracy on Flavia dataset

Outperformed previous leaf recognition methods

Provided open-source code for reproducibility

Abstract

There is a warning light for the loss of plant habitats worldwide that entails concerted efforts to conserve plant biodiversity. Thus, plant species classification is of crucial importance to address this environmental challenge. In recent years, there is a considerable increase in the number of studies related to plant taxonomy. While some researchers try to improve their recognition performance using novel approaches, others concentrate on computational optimization for their framework. In addition, a few studies are diving into feature extraction to gain significantly in terms of accuracy. In this paper, we propose an effective method for the leaf recognition problem. In our proposed approach, a leaf goes through some pre-processing to extract its refined color image, vein image, xy-projection histogram, handcrafted shape, texture features, and Fourier descriptors. These attributes are then transformed into a better representation by neural network-based encoders before a support vector machine (SVM) model is utilized to classify different leaves. Overall, our approach performs a state-of-the-art result on the Flavia leaf dataset, achieving the accuracy of 99.58\% on test sets under random 10-fold cross-validation and bypassing the previous methods. We also release our codes (Scripts are available at https://github.com/dinhvietcuong1996/LeafRecognition) for contributing to the research community in the leaf classification problem.