| 摘要 |
<p>The present invention relates to a method for discriminating banknotes using a Bayesian approach. More particularly, the present invention relates to a method for discriminating banknotes using a Bayesian approach, which comprises dividing a banknote image generated by scanning a banknote into a predetermined number of unit cells, calculating a representative value of each unit cell using sensor data measured in each unit cell, extracting a banknote feature vector which uses the calculated representative value of each unit as a factor, reducing the dimension of the extracted feature vector through a linear feature extraction, and performing banknote discrimination on the feature vector, the dimension of which is reduced, using a Gaussian maximum likelihood (GML) classification. According to the present invention, as compared to conventional methods for discriminating banknotes using a neutral network, banknote class recognition and counterfeit banknote discrimination may be quickly performed, banknote class recognition may be performed relatively accurately, and a counterfeit banknote may be discriminated even from a banknote image having a low resolution.</p> |
