Mobile App for Detection of Counterfeit Banknotes
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-89656-4_13
Reference19 articles.
1. Ahmed, Z., Yasmin, S., Islam, M.N., Ahmed, R.U.: Image processing based feature extraction of Bangladeshi banknotes. In: 2014 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), pp. 1–8. IEEE (2014)
2. Angsupanich, S., Matayong, S.: Applying the mental model for real-time recognition of Thai banknotes: the blinds’ mobile application. In: 2016 3rd International Conference on Computer and Information Sciences (ICCOINS), pp. 86–90. IEEE (2016)
3. Chomboon, K., Chujai, P., Teerarassammee, P., Kerdprasop, K., Kerdprasop, N.: An empirical study of distance metrics for k-nearest neighbor algorithm. In: The 3rd International Conference on Industrial Application Engineering 2015 (ICIAE 2015) (2015)
4. Daniel, B.P., Idoko, C.U.: The macro-economic consequences and regulatory challenges of currency counterfeiting in Nigeria (2014)
5. Dittimi, T.V., Hmood, A.K., Suen, C.Y.: Multi-class SVM based gradient feature for banknote recognition. In: 2017 IEEE International Conference on Industrial Technology (ICIT), pp. 1030–1035, March 2017
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