Image Recognition of Traditional Chinese Medicine Based on Semantic Recognition

Traditional Chinese medicine images were recognized based on semantic recognition technology. The deep learning model was used for the automatic classification and recognition of traditional Chinese medicine images, combined with traditional Chinese medicine image datasets. We adopted an advanced convolutional neural network (CNN) and a recurrent neural network (RNN) to improve the recognition accuracy of traditional Chinese medicine images. The semantic recognition technology enabled the model to learn the functional properties and medicinal efficacy of traditional Chinese medicine images. The proposed Chinese medicine image recognition model enhanced the accuracy and robustness of image recognition.