Detecting and measuring rings in banknote images |
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| Affiliation: | 1. Intelligent Systems Laboratory, Halmstad University, Box 823, Kristian IVs vag 3, S 301 18 Halmstad, Sweden;2. Department of Applied Electronics, Kaunas University of Technology, Studentu 50, LT-3031 Kaunas, Lithuania;1. Food Technology Department, XaRTA-UTPV, Agrotecnio Center, University of Lleida, Spain;2. Laboratory of Food Analysis, Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Belgium;1. State Key Laboratory of Food Science and Technology, Jiangnan University, 1800 Lihu Avenue, Wuxi 214122, China;2. School of Biotechnology and Key Laboratory of Industrial Biotechnology Ministry of Education, Jiangnan University, 1800 Lihu Avenue, Wuxi 214122, China;1. Programa de Posgrado en Alimentos del Centro de la República, Universidad Autónoma de Querétaro, Cerro de las Campanas S/N, Col. Las Campanas, Querétaro, Querétaro C. P. 76010, Mexico;2. Centro de Investigación y de Estudios Avanzados del IPN, Unidad Querétaro, Libramiento Norponiente, No. 2000., Fracc. Real de Juriquilla, Querétaro, Querétaro C. P. 76230, Mexico;1. Institute of Sciences of Food Production (ISPA), National Council of Research (CNR), Via G. Amendola, 122/O, 70126 Bari, Italy;2. Institute of Sciences of Food Production (ISPA), National Council of Research (CNR), Via Prov.le Lecce-Monteroni, 73100 Lecce, Italy;1. Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, National Engineering Research Center for Functional Food, School of Food Science and Technology, Jiangnan University, 1800 Lihu Avenue, Wuxi, Jiangsu 214122, PR China;2. Zhonghai Ocean (Wuxi) Marine Equipment Engineering Co., Ltd, Jiangnan University National University Science Park, 100 Jinxi Road, Wuxi, Jiangsu 214125, PR China;3. College of Food Science and Engineering, Qingdao Agricultural University, 700 Changcheng Road, Qingdao, Shandong 266109, PR China |
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| Abstract: | Various intelligent systems show a rapidly growing potential use of visual information processing technologies. This paper presents an example of employing visual information processing technologies for detecting and measuring rings in banknote images. The size of the rings is one of parameters used to inspect the banknote printing quality. The approach developed consists of two phases. In the first phase, based on histogram processing and data clustering, image areas containing rings are localized and edges of the rings are detected. Then, in the second phase, applying the hard and possibilistic spherical shell clustering to the extracted edge pixels the ring centre and radii are estimated. The experimental investigations performed have shown that even highly occluded rings are robustly detected. Several prototypes of the system developed have been installed in two banknote printing shops in Europe. |
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