From 445eb406a81dde099da7b3fc8e7c48d5ef35a284 Mon Sep 17 00:00:00 2001 From: Carlos Miguel Correia da Costa Date: Thu, 5 May 2016 11:17:12 +0100 Subject: [PATCH] Update README.md --- README.md | 39 ++++++++++++++++----------------------- 1 file changed, 16 insertions(+), 23 deletions(-) diff --git a/README.md b/README.md index bda41b0..f4ed611 100644 --- a/README.md +++ b/README.md @@ -2,32 +2,19 @@ ## Overview -This project focus on the detection and recognition of Euro banknotes and has the following associated paper: +This project focus on the detection and recognition of Euro banknotes and has the following associated resources: + +- ICARSC 2016 paper: [Recognition of Banknotes in Multiple Perspectives Using Selective Feature Matching and Shape Analysis](https://www.researchgate.net/publication/301888929_Recognition_of_Banknotes_in_Multiple_Perspectives_Using_Selective_Feature_Matching_and_Shape_Analysis) + + +- [Presentation](https://www.researchgate.net/publication/301888713_Recognition-of-Banknotes-in-Multiple-Perspectives-Using-Selective-Feature-Matching-and-Shape-Analysis-Presentation) + + +- [Poster](https://www.researchgate.net/publication/301888902_Recognition-of-Banknotes-in-Multiple-Perspectives-Using-Selective-Feature-Matching-and-Shape-Analysis-Poster) -[Multiview banknote recognition with component and shape analysis](https://www.researchgate.net/publication/260392128_Multiview_banknote_recognition_with_component_and_shape_analysis) **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. +Reliable banknote recognition is critical for detecting counterfeit banknotes in ATMs and help visual impaired people. To solve this problem, it was implemented a computer vision system that can recognize multiple banknotes in different perspective views and scales, even when they are within 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 relies on computer vision algorithms, such as image preprocessing, feature detection, description and matching. To improve the confidence of the banknote recognition the feature matching results are used to compute the contour of the banknotes using an homography that later on is validated using shape analysis algorithms. The system successfully recognized all Euro banknotes in 80 test images even when there were several overlapping banknotes in the same test image. ## Results @@ -66,3 +53,9 @@ Fig. 5 - Detection of overlapping banknotes ## 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) + + +## Related repositories +- [ICARSC 2016 latex paper](https://github.com/carlosmccosta/Currency-Recognition-Article) +- [ICARSC 2016 latex presentation](https://github.com/carlosmccosta/Currency-Recognition-Presentation) +- [ICARSC 2016 latex poster](https://github.com/carlosmccosta/Currency-Recognition-Poster)