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CurrencyRecognition
===================
# [Currency Recognition](http://carlosmccosta.github.io/Currency-Recognition/)

Augmented reality currency recognition

## Overview
This project focus on the detection and recognition of Euro banknotes and has the following associated paper:

[Multiview banknote recognition with component and shape analysis](https://github.com/carlosmccosta/Currency-Recognition/raw/master/Report/Multiview%20banknote%20recognition%20with%20component%20and%20shape%20analysis.pdf)

**Abstract**
Robust banknote recognition in different perspective
views and in dynamic lighting conditions is a critical component in
assistive systems for visually impaired people. It also has an
important role in improving the security of ATM maintenance
procedures and in increasing the confidence in the results
computed by automatic banknote counting machines. Moreover,
with the proper hardware, it can be an effective way to detect
counterfeit banknotes. With these applications in mind, it was
developed a system that can recognize multiple banknotes in
different perspective views and scales, even when they are part of
cluttered environments in which the lighting conditions may vary
considerably. The system is also able to recognize banknotes that
are partially visible, folded, wrinkled or even worn by usage. To
accomplish this task, the system is based in image processing
algorithms, such as feature detection, description and matching.
To improve the confidence in the recognition results, the contour
of the banknotes is computed using a homography, and its shape
is analyzed to make sure that it belongs to a banknote. The system
was tested with 82 test images, and all Euro banknotes were
successfully recognized, even when there were several banknotes
in the same test image, and they were partially occluded.

## Results

![Fig. 1 - Detection of a banknote in an ideal perspective view](https://raw.github.com/carlosmccosta/Currency-Recognition/master/Results/Representative%20results/5__(5).jpg___SIFT-Detector_SIFT-Extractor_BF-Matcher_lowQualityImageDB_globalMatch__inliersMatches__0.jpg)

Fig. 1 - Detection of a banknote in an ideal perspective view


![Fig. 2 - Detection of a banknote with perspective distortion](https://raw.github.com/carlosmccosta/Currency-Recognition/master/Results/Representative%20results/5__(6).jpg___SURF-Detector_SURF-Extractor_BF-Matcher_lowQualityImageDB_globalMatch__inliersMatches__0.jpg)

Fig. 2 - Detection of a banknote with perspective distortion


![Fig. 3 - Detection of a banknote in cluttered environments](https://raw.github.com/carlosmccosta/Currency-Recognition/master/Results/Representative%20results/10__(9).jpeg___SIFT-Detector_SIFT-Extractor_BF-Matcher_lowQualityImageDB_globalMatch__inliersMatches__0.jpg)

Fig. 3 - Detection of a banknote in cluttered environments


![Fig. 4 - Detection of partially occluded banknotes](https://raw.github.com/carlosmccosta/Currency-Recognition/master/Results/Representative%20results/500.jpg___GFTT-Detector_SIFT-Extractor_BF-Matcher_dynamicQualityImageDB_globalMatch__inliersMatches__0.jpg)
![Fig. 4 - Detection of partially occluded banknotes](https://raw.github.com/carlosmccosta/Currency-Recognition/master/Results/Representative%20results/50__(13).jpg___SIFT-Detector_SIFT-Extractor_BF-Matcher_mediumQualityImageDB_globalMatch__inliersMatches__0.jpg)

Fig. 4 - Detection of partially occluded banknotes


![Fig. 5 - Detection of overlapping banknotes](https://raw.github.com/carlosmccosta/Currency-Recognition/master/Results/Representative%20results/10-20-50.jpg___SIFT-Detector_SIFT-Extractor_BF-Matcher_dynamicQualityImageDB_globalMatch__inliersMatches__1.jpg)
![Fig. 5 - Detection of overlapping banknotes](https://raw.github.com/carlosmccosta/Currency-Recognition/master/Results/Representative%20results/10-20-50.jpg___SIFT-Detector_SIFT-Extractor_BF-Matcher_dynamicQualityImageDB_globalMatch__inliersMatches__2.jpg)
![Fig. 5 - Detection of overlapping banknotes](https://raw.github.com/carlosmccosta/Currency-Recognition/master/Results/Representative%20results/10-20-50.jpg___SIFT-Detector_SIFT-Extractor_BF-Matcher_dynamicQualityImageDB_globalMatch__inliersMatches__0.jpg)

Fig. 5 - Detection of overlapping banknotes


## Releases
[Windows 8.1 release](https://github.com/carlosmccosta/Currency-Recognition/releases)



## Building and developing
The setup instructions on how to build and develop in Visual Studio is available [here](https://github.com/carlosmccosta/Currency-Recognition/blob/master/CurrencyRecognition/docs/Visual%20Studio%20configuration%20for%20OpenCV%202.4.8.txt)

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