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Machine Learning-Based Fast Banknote Serial Number Recognition Using Knowledge Distillation and Bayesian Optimization

Title
Machine Learning-Based Fast Banknote Serial Number Recognition Using Knowledge Distillation and Bayesian Optimization
Authors
Choi, EunjeongChae, SomiKim, Jeongtae
Ewha Authors
김정태
SCOPUS Author ID
김정태scopus
Issue Date
2019
Journal Title
SENSORS
ISSN
1424-8220JCR Link
Citation
SENSORS vol. 19, no. 19
Keywords
banknote serial number recognitiondeep learningknowledge distillation
Publisher
MDPI
Indexed
SCIE; SCOPUS WOS
Document Type
Article
Abstract
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.
DOI
10.3390/s19194218
Appears in Collections:
엘텍공과대학 > 전자공학과 > Journal papers
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