Bibliographic citations
Huaytalla, B., Humari, D. (2020). Desarrollo de un sistema electrónico portátil orientado a la detección de billetes falsos de 50, 100 y 200 soles basado en algoritmos de procesamiento digital de imágenes [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/652400
Huaytalla, B., Humari, D. Desarrollo de un sistema electrónico portátil orientado a la detección de billetes falsos de 50, 100 y 200 soles basado en algoritmos de procesamiento digital de imágenes [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/652400
@misc{sunedu/4383237,
title = "Desarrollo de un sistema electrónico portátil orientado a la detección de billetes falsos de 50, 100 y 200 soles basado en algoritmos de procesamiento digital de imágenes",
author = "Humari Quispe, Diego Oswaldo",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
The present thesis project proposes to design a portable system to detect 50, 100 and 200 soles counterfeit bills with automatic diagnosis based on digital image processing and implemented on a reduced plate computer. Nowadays, the current counterfeiting techniques for bills being used in Peru are capable of eluding the traditional detection systems. The system being proposed is based on a more efficient detection because the acquisition and image segmentation is being focused on the chalcographic patterns of high relief. To optimize this process, a camera, a lens and a portable enclosure are being used. Then, the system applies the embossing filter, the sobel filter, the erosion filter and the expansion filter successively, to emphasize the distinctive characteristics of the legitimate bills. Finally, Support Vector Machines are used to classify real and counterfeit bills, based on the training process performed for each denomination. The result delivered will allow the program to discern the legitimacy of the bill and show it on a display to ease the understandment by any user. Likewise, the computer is connected to a database in order to transmit the statistics of counterfeit bills detected. To validate the solution, samples of 278 bills, counterfeit and legal, of 50, 100 and 200 soles were processed. These were provided by the BCRP, the official organism of Peru in charge of coins and bills. In this tests, the results show a presicion of over 97% of counterfeited bills correctly identified.
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