Sensors, Vol. 19, Pages 4218: Machine Learning-Based Fast Banknote Serial Number Recognition Using Knowledge Distillation and Bayesian Optimization
Sensors, Vol. 19, Pages 4218: Machine Learning-Based Fast Banknote Serial Number Recognition Using Knowledge Distillation and Bayesian Optimization
Sensors doi: 10.3390/s19194218
Authors:
Eunjeong Choi
Somi Chae
Jeongtae Kim
We investigated a machine-learning-based fast banknote serial number recognition method. Unlike existing methods, the proposed method not only recognizes multi-digit serial numbers simultaneously but also detects the region of interest for the serial number automatically from the input image. Furthermore, the proposed method uses knowledge distillation to compress a cumbersome deep-learning model into a simple model to achieve faster computation. To automatically decide hyperparameters for knowledge distillation, we applied the Bayesian optimization method. In experiments using Japanese Yen, Korean Won, and Euro banknotes, the proposed method showed significant improvement in computation time while maintaining a performance comparable to a sequential region of interest (ROI) detection and classification method.
Source: Sensors - Category: Biotechnology Authors: Eunjeong Choi Somi Chae Jeongtae Kim Tags: Article Source Type: research