Robust Features and Paper Currency Recognition System
نویسندگان
چکیده
This paperproposes a new intelligent system for paper currency recognition. Pakistani paper currency has been considered, as a case study, for intelligent recognition. This paper identifies, introduces, and extracts robustfeatures fromPakistani banknotes. After extracting thesefeatures, the paper proposes to use three layers feed-forward Backpropagation Neural Network (BPN) for classification. The proposed technique and system are simple and comparatively less time consuming which makes it suitable for real-time applications. Implementation and experimentation of the proposed technique certify the authenticity to a high recognition.
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