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Banknote Recognition as a CBIR Problem
2015Automatic banknote recognition is an important aid for visually impaired users, which may provide a complementary evidence to tactile perception. In this paper we propose a framework for banknote recognition based on a traditional Content-Based Image Retrieval pipeline: given a test image, we first extract SURF features, then adopt a Bag of Features ...
SOSA GARCIA, JOAN, ODONE, FRANCESCA
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Automated System for Indian Banknote Recognition using Image Processing and Deep Learning
2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), 2020This work proposes to develop an automated system for Indian banknote recognition using image processing and deep learning techniques which will be invariant of orientation and independent of the sides or faces of the notes.
Uttoran Roy Chowdhury +2 more
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Multi-class SVM based gradient feature for banknote recognition
2017 IEEE International Conference on Industrial Technology (ICIT), 2017Banknote recognition system is the focus of different image processing and pattern recognition research. With the improvement in modern-day banking operations, automated systems for banknote recognition have become pertinent. Recognition of banknotes is a challenging task as banknotes can suffer from defects and images get distorted during acquisition,
T. V. Dittimi, A. K. Hmood, C. Suen
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AI-Based Mobile Banknote Recognition Application for Visually Impaired Individuals
2025 Innovations in Intelligent Systems and Applications Conference (ASYU)This study presents the development of an artificial intelligence-based mobile application designed to assist visually impaired individuals in independently recognizing Turkish Lira banknotes.
Maedeh Bizhani Avval +2 more
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Deep Learning-Based Vision System for Banknote Recognition: A Neurocomputational Approach
International Conference on Systems and InformaticsThis paper introduces CashVision, an assistive mobile vision system that incorporates concepts from computational neuroscience to enable real-time identification of Chilean banknotes for visually impaired users.
Marco Lévano +2 more
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A Banknote Orientation Recognition Method with BP Network
2009 WRI Global Congress on Intelligent Systems, 2009A banknote orientation recognition method is introduced in the paper. In order to avoid dealing with large numbers of image pixels and reduce calculation, the banknote image is divided into several blocks. And then, neural network is applied to establish a universal recognition method.
Qinghong Wu +4 more
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Recognition for the Banknotes Grade Based on CPN
2008 International Conference on Computer Science and Software Engineering, 2008The counter propagation networks (CPN) is used to improve the accuracy of the grade of banknotes recognition. First, self-organizing map (SOM) is used to cluster banknotes data into regions based on the different feature of banknotes; second, the principal component analysis (PCA) is performed in each region to extract the main principal features of ...
Baiqing Sun, Jilu Li
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International Conference on Information and Software Technologies, 2020
Hong Kong Dollar is the main currency used in Hong Kong. Hong Kong banknotes are issued by three commercial banks, namely Hongkong and Shanghai Banking Corporation (HSBC), Standard Chartered Bank, and Bank of China. People can typically differentiate the
S. Ng +4 more
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Hong Kong Dollar is the main currency used in Hong Kong. Hong Kong banknotes are issued by three commercial banks, namely Hongkong and Shanghai Banking Corporation (HSBC), Standard Chartered Bank, and Bank of China. People can typically differentiate the
S. Ng +4 more
semanticscholar +1 more source
Persian Banknote Recognition Using Wavelet and Neural Network
2012 International Conference on Computer Science and Electronics Engineering, 2012In this paper a new Persian banknote recognition system using wavelet transform and neural network has been proposed. The required images for the selected banknotes are obtained using a scanner. The color images are first converted to gray scale images, and then the discrete wavelet transform (DWT) is applied on the selected images and features are ...
F. Poor Ahangaryan +2 more
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