At present,artificial intelligence technology is rapidly developing and being applied in more and more fields,becoming a research hotspot,especially in object detection and image recognition.Random forest is an optimization of Bayesian networks that utilizes multiple tree classifiers for classifica-tion and prediction,which can reduce overfitting during the classification and recognition process.This article is based on the handwritten digit recognition algorithm of random forest,exploring the applica-tion and advantages of random forest algorithm in digit recognition,and optimizing the algorithm to im-prove recognition accuracy.Through experimental analysis,the results show that the handwritten digit recognition algorithm based on random forest proposed in this paper has high classification accuracy and good generalization performance,which can meet practical application needs.
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