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An effective reject rule for reliability improvement in bank note neuro-classifiers.

, , and . NNSP, page 509-516. IEEE, (2003)

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Continuous fatigue level estimation for the classification of fatigued bills based on an acoustic signal feature by a supervised SOM., , and . Artif. Life Robotics, 13 (2): 547-550 (2009)Fatigue level estimation of bill based on feature-selected acoustic energy pattern by using supervised SOM., , and . CSTST, page 325-330. ACM, (2008)Classification of the Italian Liras Using the LVQ Method., and . IJCNN (3), page 145-148. IEEE Computer Society, (2000)0-7695-0619-4.Bill classification by using the LVQ method., , and . SMC, page 1430-1435. IEEE, (2001)Classification of the Italian Lira using the LVQ method., and . SMC, page 2769-2774. IEEE, (2000)Rotation-invariant neural pattern recognition system with application to coin recognition, , , and . Proceedings of the IEEE International joint Conference on Neural Networks 1991, IJCNN'91, 2, page 1027-1032. IEEE Computer Society, (1991)Neuro-Classification of Currency Fatigue Levels Based on Acoustic Cepstrum Patterns., , and . J. Adv. Comput. Intell. Intell. Informatics, 4 (1): 18-23 (2000)New and Used Bills Classification Using Competitive Neural Network Based on Cepstrum Pattern., , and . ICONIP, page 1172-1175. IOA Press, (1998)Feature Selection Method for Classification of New and Used Bills., , and . DCAI, volume 79 of Advances in Intelligent and Soft Computing, page 1-8. Springer, (2010)Improvement of reliability in banknote classification using reject option and local PCA., , , and . Inf. Sci., 168 (1-4): 277-293 (2004)