Efficient Detection of Counterfeit Banknotes Using Adaptive Network Based Fuzzy Inference Systems
Alper Baştürk, Nurcan Sarikaya Basturk, Derek Kweku Degbedzui, Mehmet Emin Yüksel · 2021 13th International Conference on Electrical and Electronics Engineering (ELECO) · 2021
Adaptive network based fuzzy inference system (ANFIS) is utilized for efficient detection of counterfeit banknotes. ANFIS is a hybrid system that employs a network architecture to fine-tune the membership functions of a fuzzy inference system. Three input space partitioning methods are investigated for banknote authentication. The average classification performances for 30 runs of 5-fold and 10-fold cross validation experiments are reported. The experimental results and statistical analyses confirm that ANFIS models based on subtractive clustering and grid partitioning offer better classification performance than the ANFIS model based on fuzzy c-means clustering for banknote authentication.