This paper discusses a visual recognition system, for identifying the Pa-phiopedilum orchid, often called the Venus slipper. The dataset consists of 100 sample images for each of 15 species of orchid, for a total of 1500 images. All the images of this dataset were taken at the Paphiopedilum orchid gardens and manually classified by experts. This work also implemented a recognition system based on a deep learning approach using a combination of convolutional neural network (CNN) and the Inception-v3 feature extractor of the TensorFlow platform. The implemented recognition system can deliver recognition rates of up to 98.6%, demonstrating excellent recognition performance by the CNN model. Finally, we demonstrate a prototype orchid recognition system, implemented as an Android mobile application.

本文讨论了一种视觉识别系统，用于识别常被称为维纳斯拖鞋的Pa-phiopedilum兰花。该数据集包含15种兰花中每种兰花的100个样本图像，总共1500张图像。该数据集的所有图像均在兜兰兰花花园拍摄，并由专家手动分类。这项工作还使用卷积神经网络（CNN）和TensorFlow平台的Inception-v3特征提取器的组合，实现了基于深度学习方法的识别系统。实施的识别系统可以提供高达98.6％的识别率，这表明CNN模型具有出色的识别性能。最后，我们演示了一个原型兰花识别系统，该系统实现为Android移动应用程序。