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Philippine Currency Counterfeit Detector Using Image Processing — Thesis Design project by YenkoDev

Philippine Currency Counterfeit Detector Using Image Processing

Software as a Service

No

Category

Thesis Design

Clients

Mapua University

Techstack

PythonRaspberry PiOpenCVEasyOCRPyQt

Purpose

Mapua University researchers set out to automate Philippine banknote verification — recognizing the denomination and checking the security features that separate genuine bills from counterfeits, without relying on manual inspection.

Description

A Raspberry Pi scanner that examines banknotes feature by feature. Image processing routines in OpenCV inspect the watermark, security thread, and see-through print; K-means color analysis distinguishes denominations; and OCR reads the serial number and Baybayin script markings. A CNN classifier supports denomination recognition, results are announced through audio prompts, and a PyQt interface drives the scanning workflow on the device.

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