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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: DEStech Transactions on Engineering and Technology Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
