Chinese Character Thinning System Based on LabVIEW and BP Neural Network

Abstract

In order to effectively realize the thinning of Chinese character, a Chinese character thinning system based on LabVIEW platform and BP neural network optimized parallel thinning algorithm is proposed. The BP neural network is trained by the optimized combinatorial templates to obtain the optimized training parameters. Then the optimized parameters are input into the thinning system of Chinese characters for quick thinning. Experiments show that the system not only has the advantages of parallel algorithm based on combinatorial templates, but also simplifies the operation, and its processing speed is about 20% higher than that of combinatorial templates, which is an ideal thinning system. It is widely used in fingerprints, circuit boards and medical image recognition.