A Research On Food Image Recognition Based On Random Forests And SVM

In recent years,artificial intelligence technology has made great progress,especially the machine to obtain the sound,image description and understanding of the rapid development of some areas has made a very good application.From the mobile phone,computer and other fingerprints used to start or check the punch card used,and then to face recognition of the sign system,are inseparable from the image recognition technology.And with the socialization of practical activities,the need to identify and identify the types of things more and more rich,and the content of the object is more and more complex.The food image recognition studied in this topic is of great significance in image recognition.In theory,the image recognition of this paper is based on the random forest algorithm and SVM algorithm,and introduces a method of data mining based on stochastic forest method and SVM algorithm.Through this method greatly improve the training speed and recognition accuracy.The similar food image has a high dimension and a complex nonlinearity compared with the target identified by other objects.The study of this type of image recognition has a good reference for other types of image recognition.Application,in people more and more emphasis on health and environmental protection concept of life,food recognition can be widely used in health diet or patient care APP or even intelligent robots,so as to improve people's quality of life.