Abstract
In order to satisfy the fast, accurate and high reliability of banknote image recognition, a banknote image recognition method based on hidden Markov models (MHH) is proposed in this paper. The grid method is used to extract banknote image features and the process of image preprocessing. By analysing the experimental data, the number of Markov model states, the number of iterations and the number of Gaussian models is finally determined. This method can be used to identify any currency. In this paper, 16000 pieces of RMB were collected by the self-developed banknote cleaner as experimental samples. Experimental results show that the proposed method achieves higher recognition rate than using neural network and support vector function.
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 callDisclaimer: 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.
