Relevant bibliographies by topics / Currency recognition

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Currency recognition'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Currency recognition"

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Mahato, Sushil, Satan Kumar Yadav, and Prince Kumar. "Indian Fake Currency Note Recognition." International Journal of Research Publication and Reviews 5, no. 11 (2024): 5403–10. https://doi.org/10.55248/gengpi.5.1124.3340.

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Chaudhari, V. J. "Currency Recognition App." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 435–37. http://dx.doi.org/10.22214/ijraset.2021.34982.

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Visually Impaired & foreign people are those people who have vision impairment or vision loss. Problems faced by visually impaired in performing daily activities are in great number. They also face a lot of difficulties in monetary transactions. They are unable to recognize the paper currencies due to similarity of paper texture and size between different categories. This money detector app helps visually impaired patients to recognize and detect money. Using this application blind people can speak and give command to open camera of a smartphone and camera will click picture of the note an
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A., S. "Currency Recognition using SIFT." International Journal of Computer Applications 167, no. 9 (2017): 15–20. http://dx.doi.org/10.5120/ijca2017914368.

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Padmaja, B., P. Naga Shyam Bhargav, H. Ganga Sagar, B. Diwakar Nayak, and M. Bhushan Rao. "Indian Currency Denomination Recognition and Fake Currency Identification." Journal of Physics: Conference Series 2089, no. 1 (2021): 012008. http://dx.doi.org/10.1088/1742-6596/2089/1/012008.

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Abstract Visually impaired and senior citizens find it difficult to identify different banknotes, driving the need for an automated system to recognize currency notes. This study proposes recognizing Indian currency notes of various denominations using Deep Learning through the CNN model. While not recognizing currency notes is one issue, identifying fake notes is another major issue. Currency counterfeiting is the illegal imitation of currency to deceive its recipient. The current existing methodologies for identifying a phony note rely on hardware. A method completely devoid of hardware that
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S.Geetha, P.Yeshika, K.Thapaswi, S.Gnanaharshini, and E.Varshitha. "CURRENCY RECOGNITION SYSTEM USING IMAGE PROCESSING." Journal of Nonlinear Analysis and Optimization 14, no. 02 (2023): 100–107. http://dx.doi.org/10.36893/jnao.2023.v14i2.0100-0107.

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In this paper, we proposed an automatic currency recognition system using digital Image processing methodology. The following project mainly focuses on the recognition of currency by its image or photograph. It will help users to recognize details about currency like Currency Value, Currency Name, the value in INR, EURO, and US Dollar. It works using the main characteristics of currency notes such as size color or printed text on it and also depends on differ in currency notes within the same country. We have considered INDIAN Rupee and US Dollar, the most used currencies in our domain with th
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KUMAR, T. RAVI KIRAN, ASVEEN BEGUM, G. BHUVANESHWARI, MD.IBRAHIM, and CH.SATYA TEJA. "CURRENCY RECOGNITION SYSTEM USING IMAGE PROCESSING." Fuzzy Systems and Soft Computing 09, no. 02 (2024): 256–61. https://doi.org/10.36893/fssc.2024.v19i2.036.

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This paper proposes an automatic currency recognition system using a digital image processing methodology. The following project mainly focuses on recognizing currency by its image or photograph. It will help users to recognize details about currency like Currency Value, Currency Name, and the value in INR, EURO, and US dollars. It works using the main characteristics of currency notes such as size color or printed text and also depends on differences in currency notes within the same country. We have considered the INDIAN Rupee and the US Dollar, the most used currencies in our domain with th
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Hui Hui Wang, Yin Chai Wang, Bui Lin Wee, and Marcus Chen. "Novel Feature Extraction and Representation for Currency Classification." Journal of Advanced Research in Applied Sciences and Engineering Technology 33, no. 1 (2023): 275–84. http://dx.doi.org/10.37934/araset.33.1.275284.

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In an era marked by the rapidly growing levels of international trade and tourism, the accurate recognition of various currency notes has become a necessity. This paper presents research on an image processing technique for classifying the origin of currencies. Individuals are hardly distinguishing between different currencies from various countries. Therefore, it becomes necessary to develop an automated currency recognition system that helps in recognition notes easily, accurately and efficiency. The methodology consists of five stages, which are image acquisition, image pre-processing, feat
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Gupta, Rohit. "Indian Currency Recognition and Authentication." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (2021): 1021–27. http://dx.doi.org/10.22214/ijraset.2021.34412.

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Chhetri, Manoj, and Parshuram Dhungyel. "Bhutanese Currency Recognition using Yolo." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26219.

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In the course of this research, we conducted an examination of Yolo V3 to test its capabilities as a currency recognition model. Accuracy score was used as the evaluation metric and the highest accuracy scored on the testing dataset was 91%. Key Words: Bhutan,currency
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Liu, Xi Wen, and Chao Ying Liu. "Paper Currency Image Features Extraction and Recognition Based on Gabor Filter." Applied Mechanics and Materials 635-637 (September 2014): 1030–34. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1030.

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The paper currency image recognition method based on Gabor filter set is discussed in this paper. According to the paper currency image features, the suitable parameters of Gabor filter set are selected for the extraction of paper currency characteristics, the multi-scale and multi-directional texture characteristics of paper currency image are gotten; then the texture images are meshed, and the row and column projection sum of grid pixels' average grey are calculated, finally, the template match method based on grid projection characteristics is used for paper currency recognition. Experiment
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Dissertations / Theses on the topic "Currency recognition"

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Siyuan, Lin, and Wang Yaojia. "Currency recognition system using image processing." Thesis, University of Gävle, Department of Industrial Development, IT and Land Management, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-6907.

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<p>It is difficult for people to recognize currencies from different countries. Our aim is to help people solve this problem. However, currency recognition systems that are based on image analysis entirely are not sufficient. Our system is based on image processing and makes the process automatic and robust. We use SEK and Chinese RMB as examples to illustrate the technique. Color and shape information are used in our algorithm.</p>
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Anderson, Darren Keith. "Theoretical and experimental developments in induced current electrical impedance tomography." Thesis, University of Sheffield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364313.

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Travis, Clive Hathaway. "The inverse problem and applications to optical and eddy current imaging." Thesis, University of Surrey, 1989. http://epubs.surrey.ac.uk/804869/.

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Healey, Timothy James. "A study of three dimensional effects in induced current impedance imaging." Thesis, University of Sheffield, 1995. http://etheses.whiterose.ac.uk/14774/.

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Previous studies of the induced current impedance imaging technique have been unable to reconstruct images of three dimensional (3-D) structures. In this study the cause of the problem is identified and the reconstruction algorithm of Purvis is adapted to facilitate the correct reconstruction of images of a limited class of structures which have the form of a long cylinder. The images produced by the algorithm are improved by a data filter based on that of Barber, Brown and Avis. By consideration of the underlying field equations which govern 3-D induced current Electrical Impedance Tomography
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Schubotz, Wiebke [Verfasser], Birger [Akademischer Betreuer] Kollmeier, and Volker [Akademischer Betreuer] Hohmann. "Performance of current models of speech recognition and resulting challenges / Wiebke Schubotz. Betreuer: Birger Kollmeier ; Volker Hohmann." Oldenburg : BIS der Universität Oldenburg, 2015. http://d-nb.info/1082346993/34.

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Cruz, Victor F. "Utilizing current commercial-off-the-shelf facial-recognition and public live video streaming to enhance national security." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/43898.

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Approved for public release; distribution is unlimited<br>The nation’s security depends in part on proactive approaches and methods to evolving technologies for identifying persons of interest, enemies of state (foreign and domestic), potential acts of terrorism, and foreign intelligence. Currently, state and federal entities operate passive surveillance technologies with biometrics to identify and curtail national security threats, so as to act within the confines of the Act for Uniting and Strengthening America by Providing Appropriate Tools Required to Intercept and Obstruct Terrorism. Howe
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Schubotz, Wiebke Verfasser], Birger [Akademischer Betreuer] [Kollmeier, and Volker [Akademischer Betreuer] Hohmann. "Performance of current models of speech recognition and resulting challenges / Wiebke Schubotz. Betreuer: Birger Kollmeier ; Volker Hohmann." Oldenburg : BIS der Universität Oldenburg, 2015. http://nbn-resolving.de/urn:nbn:de:gbv:715-oops-27302.

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Hicks, Allan. "A comparative study of the medical scientist profession in Australia and around the world to provide evidence for a review of the current self-regulatory framework." Thesis, Griffith University, 2021. http://hdl.handle.net/10072/408503.

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In 2010 the Australian Government established the Australian Health Practitioner Regulation Agency (AHPRA) to oversee the registration requirements of fifteen healthcare professions. The official reason reported for the exclusion of Medical Scientists and technicians was that these laboratory personnel do not impact patient outcomes significantly and are sufficiently regulated by laboratory accreditation and the oversight of a Registered Pathologist. The Australian Institute of Medical and Clinical Scientists and the other pathology societies have communicated with the government on several oc
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Klimm, Nathanael [Verfasser], and Christian [Akademischer Betreuer] Plewnia. "Reduction of excitability in the left inferior frontal gyrus by cathodal transcranial direct current stimulation facilitates emotion recognition / Nathanael Klimm ; Betreuer: Christian Plewnia." Tübingen : Universitätsbibliothek Tübingen, 2019. http://d-nb.info/1197610928/34.

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Otto, Carolin [Verfasser], Gyula [Gutachter] Kovács, Otto W. [Gutachter] Witte, and Katharina von [Gutachter] Kriegstein. "Is the right anterior superior temporal sulcus involved in speaker-identity recognition? : a study using transcranial direct current stimulation / Carolin Otto ; Gutachter: Gyula Kovács, Otto W. Witte, Katharina von Kriegstein." Jena : Friedrich-Schiller-Universität Jena, 2020. http://d-nb.info/1222100355/34.

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Books on the topic "Currency recognition"

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Fornés, Alicia, and Bart Lamiroy, eds. Graphics Recognition. Current Trends and Evolutions. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02284-6.

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Lamiroy, Bart, and Rafael Dueire Lins, eds. Graphic Recognition. Current Trends and Challenges. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52159-6.

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Lamiroy, Bart, and Jean-Marc Ogier, eds. Graphics Recognition. Current Trends and Challenges. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44854-0.

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United States. Office of Postsecondary Education., ed. Current list of nationally recognized accrediting agencies and the criteria for recognition by the U.S. Secretary of Education. Dept. of Education, Office of Postsecondary Education, 1998.

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1951-, Bigelow Barbara Jane, ed. Unions and legitimacy. ILR Press, 2002.

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Scatton-Tessier, Michelle. Caro and Jeunet. Amsterdam University Press, 2025. https://doi.org/10.5117/9789463728836.

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The first book to fully focus on French cult filmmakers Marc Caro and Jean-Pierre Jeunet, Caro &amp; Jeunet: Crafting French Cinema brings a scholarly perspective to the filmmakers’ collaborative and solo artistic projects as outliers in approach and content. Studying from their beginning passion for animation history to their most current works, Scatton-Tessier establishes their presence and recognition as do-it-yourselfers in comics culture, advertising, and film production. Covering punk, DIY production, intertextuality, performance, and vigilantism through close film analysis and cultural
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RSCTC, 2010 (2010 Warsaw Poland). Rough sets and current trends in computing: 7th international conference, RSCTC 2010, Warsaw, Poland, June 28-30, 2010 : proceedings. Springer, 2010.

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O'Hare, C. P. A study of current business improvement methodologies in combination with ethnographic research of a business improvement methodology to validate the Ulster Business School's Business Process Improvement Methodology and enhance DuPont's Maintenance Excellence Recognition Process. The Author], 1997.

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Santosh, K. C. Document Image Analysis: Current Trends and Challenges in Graphics Recognition. Springer, 2018.

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Santosh, K. C. Document Image Analysis: Current Trends and Challenges in Graphics Recognition. Springer, 2018.

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Book chapters on the topic "Currency recognition"

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Jain, Abhishek, Paras Jain, and Vikas Tripathi. "Automated Currency Recognition Using Neural Networks." In Research in Intelligent and Computing in Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7527-3_79.

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Sinthuja, M., S. Pravinthraja, S. R. ManiSekhar, and V. Karthik. "Currency Recognition App for Blind People." In Human-Centric Smart Computing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7711-6_6.

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Mukherjee, Riti, Nirban Pal, and Riya Sil. "A Survey on Currency Recognition Method." In Intelligent Systems Design and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35510-3_44.

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Gowroju, Swathi, K. Sravani, N. Santhosh Ramchandar, D. Sai Kamesh, and J. Nasrasimha Murthy. "Robust Indian Currency Recognition Using Deep Learning." In Communications in Computer and Information Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3660-8_45.

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Vimala, A., P. Archana, S. Divya, R. Divya Darshani, Sreeja Balaji Sundararajan, and G. Ashwin Raj. "Computerized Currency Recognition using Digital Image Processing." In Atlantis Highlights in Engineering. Atlantis Press International BV, 2025. https://doi.org/10.2991/978-94-6463-754-0_80.

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Priyadharshini, R. Ahila, M. Vijayraj, and R. Dhanushraj. "A Transfer Learning Approach to Indian Currency Coin Recognition." In Computational Intelligence in Pattern Recognition. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3734-9_23.

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He, Jian-Biao, Hua-Min Zhang, Jun Liang, Ou Jin, and Xi Li. "Paper Currency Denomination Recognition Based on GA and SVM." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47791-5_41.

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Bhavsar, Kushal, Keyurbhai Jani, and Rakeshkumar Vanzara. "Indian Currency Recognition from Live Video Using Deep Learning." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6648-6_6.

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Trinh, Hung-Cuong, Hoang-Thanh Vo, Van-Huy Pham, Bhagawan Nath, and Van-Dung Hoang. "Currency Recognition Based on Deep Feature Selection and Classification." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3380-8_24.

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Bhutkar, Ganesh, Mansi Patil, Deepak Patil, Shivani Mukunde, Rajdeep Shinde, and Anamika Rathod. "Currency Recognition App for Visually Impaired Users in India." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-02904-2_10.

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Conference papers on the topic "Currency recognition"

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Yoga Ananth, N. S., S. Suba Lakshmi, B. Narmatha, and G. Sundari. "Fake Currency Detection Using Pattern Recognition Algorithm." In 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT). IEEE, 2024. http://dx.doi.org/10.1109/tqcebt59414.2024.10545047.

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Monira, Serajum, Nurun Nahar Fiha, Md Golam Moazzam, and Md Musfique Anwar. "Deep Learning Based Bangladeshi Currency Coin Recognition." In 2025 4th International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST). IEEE, 2025. https://doi.org/10.1109/icrest63960.2025.10914454.

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de Luna, Robert G., Rai Racel Armando, Mark Louie Bocalbos, et al. "Automated Currency Identification: A CNN Approach to Philippine Banknote Recognition." In 2024 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2024. https://doi.org/10.1109/ist63414.2024.10759209.

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Magayones, Lychee Iverson B., Rebekah Dhey B. Tañag, and Jocelyn F. Villaverde. "Asian Currency Identification and Recognition Using Lightweight Convolutional Neural Network." In TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). IEEE, 2024. https://doi.org/10.1109/tencon61640.2024.10902796.

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Mathew, Jeslin Leela, Rasal Harish A, Alan Davis C, Alan C. Vinoy, Bineesh Moozhippurath, and Divya Konikkara. "Blind Assist System for Currency Recognition Using Sequential Convolutional Neural Networks." In 2025 2nd International Conference on Trends in Engineering Systems and Technologies (ICTEST). IEEE, 2025. https://doi.org/10.1109/ictest64710.2025.11042604.

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Kaushik, Tata, Aasritha Sri Vani, N. Vithyatharshana, Meena Belwal, and Sangita Khare. "Comparative Analysis of Deep Learning Models for Currency Recognition and Value Detection." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725275.

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Nasir, Asra, Sidra Zafar, and Zaeem Nasir. "Pakistani Currency Recognition and Classification for Visually Impaired People Using Convolutional Neural Network." In 2024 4th International Conference on Digital Futures and Transformative Technologies (ICoDT2). IEEE, 2024. http://dx.doi.org/10.1109/icodt262145.2024.10740188.

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S, Senthil Pandi, Dhanasekaran S, Murugan B. S, and Kumar P. "Improving Real-Time Currency Recognition for Visual Impairments: Using MobileNetV2 and Extreme Learning Machines." In 2024 Second International Conference on Advances in Information Technology (ICAIT). IEEE, 2024. http://dx.doi.org/10.1109/icait61638.2024.10690460.

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Vijay, A., R. Jayasree, V. Priyaa, and M. Rithanya. "Real-Time Prototype Design for Secure Coin and Currency Recognition System for Hundi using Object Detection Algorithms." In 2024 5th International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2024. http://dx.doi.org/10.1109/icosec61587.2024.10722306.

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Reddy, S. Koti Niteesh, S. Prem Kumar, and R. Karthikeyan. "Expression of Concern for: Shape Based Feature Extraction for Currency recognition and compare the accuracy and sensitivity with ORB algorithm." In 2022 International Conference on Cyber Resilience (ICCR). IEEE, 2022. http://dx.doi.org/10.1109/iccr56254.2022.10703521.

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Reports on the topic "Currency recognition"

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Varastehpour, Soheil, Hamid Sharifzadeh, Iman Ardekani, and Abdolhossein Sarrafzadeh. Human Biometric Traits: A Systematic Review Focusing on Vascular Patterns. Unitec ePress, 2020. http://dx.doi.org/10.34074/ocds.086.

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Authentication methods based on human traits, including fingerprint, face, iris, and palm print, have developed significantly, and currently they are mature enough to be reliably considered for human identification purposes. Recently, as a new research area, a few methods based on non-facial skin features such as vein patterns have been developed. This literature review paper explores some key biometric systems such as face recognition, iris recognition, fingerprint, and palm print, and discusses their respective advantages and disadvantages; then by providing a comprehensive analysis of these
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Griffiths, Rachael M. Handwritten Text Recognition (HTR) for Tibetan Manuscripts in Cursive Script. Verlag der Österreichischen Akademie der Wissenschaften, 2024. http://dx.doi.org/10.1553/tibschol_erc_htr.

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The use of advanced computational methods for the analysis of digitised texts is becoming increasingly popular in humanities and social science research. One such technology is Handwritten Text Recognition (HTR), which generates transcripts from digitised texts with machine learning approaches, to enable full-text search and analysis. Up to now, HTR models for Tibetan manuscripts in cursive script have not been available. This paper introduces work carried out as part of the The Dawn of Tibetan Buddhist Scholasticism (11th-13th) TibSchol) project at the Austrian Academy of Sciences, which is u
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Eastman, Brittany. Facial Recognition Software and Privacy Law in Transportation Technology. SAE International, 2024. http://dx.doi.org/10.4271/epr2024011.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Data privacy questions are particularly timely in the automotive industry as—now more than ever before—vehicles are collecting and sharing data at great speeds and quantities. Though connectivity and vehicle-to-vehicle technologies are perhaps the most obvious, smart city infrastructure, maintenance, and infotainment systems are also relevant in the data privacy law discourse.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Facial Recognition Software and Privacy Law in Transportation Technology&lt;/b&gt; consi
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Eastman, Brittany. Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights. SAE International, 2022. http://dx.doi.org/10.4271/epr2022016.

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Facial recognition software (FRS) is a form of biometric security that detects a face, analyzes it, converts it to data, and then matches it with images in a database. This technology is currently being used in vehicles for safety and convenience features, such as detecting driver fatigue, ensuring ride share drivers are wearing a face covering, or unlocking the vehicle. Public transportation hubs can also use FRS to identify missing persons, intercept domestic terrorism, deter theft, and achieve other security initiatives. However, biometric data is sensitive and there are numerous remaining
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Barolsky, Vanessa, Karen Berger, and Kristie Close. Recognising community truth-telling: An exploration of local truth-telling in Australia. Centre for Resilient and Inclusive Societies, 2023. https://doi.org/10.56311/eqag3029.

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Aboriginal and Torres Strait Islander Peoples have been calling for a fuller account of Australia’s history for many decades. Truth-telling has been understood as being central to reconciliation since the Council for Aboriginal Reconciliation began its work 30 years ago, and even prior to this. More recently, this long-held desire for truthtelling was articulated as one of three critical components needed to achieve political transformation in the 2017 Uluru Statement from the Heart, which called for Voice, Treaty and Truth. This collaborative research project between the Alfred Deakin Institu
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Alharbi, Shuaa S., and Haifa F. Alhasson. Toward the Identification of Applications of Artificial Intelligence for Dental Image Detection: Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.11.0023.

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Review question / Objective: The purpose of this systematic review is to understand and compare the current applications of machine learning in the care of dental patients. This will enable us to assess their diagnostic and prognostic accuracy. As part of the study, we will identify areas of development for ML applications in the dental care field. In addition, we will suggest improvements to research methodology that will facilitate the implementation of ML technologies in services and improve clinical treatment guidelines based on the results of future studies. Condition being studied: This
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Honegger and Nyman. L51927 Guidelines for the Seismic Design and Assessment of Natural Gas and Liquid Hydrocarbon Pipelines. Pipeline Research Council International, Inc. (PRCI), 2004. http://dx.doi.org/10.55274/r0010350.

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Much of the current seismic practice can be traced to research conducted in the 1970s to develop design criteria and procedures for the Trans-Alaska oil pipeline. The major natural gas pipeline operators in California have implemented many of the procedures in these guidelines, in one form or another. The recognition of credible seismic hazards in other parts of the United States has been the primary driver for extending current practices in California to the rest of the United States. The experience in designing pipelines in seismically active regions of the United States has also provided a
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Rezaie, Shogofa, Julia Jokiaho, Karin André, and Fedra Vanhuyse. Advancing the circular economy in Latin American and Caribbean cities: evaluation of Bogotá’s circular economy strategy. Stockholm Environment Institute, 2025. https://doi.org/10.51414/sei2025.012.

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This study presents an evaluation of Bogotá’s circular economy strategy, identifying current gaps and opportunities and providing insights within the broader regional perspective for Latin America and the Caribbean. The circular economy presents significant opportunities for the Latin American and Caribbean region (LAC), including reducing resource consumption, mitigating environmental impacts, and creating jobs, contributing to sustainable urban development. Recommendations made in this report for Bogotá and other LAC cities include enhancing waste management infrastructure, fostering public-
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Rodriguez-Alvarez, Ana, Manuel Llorca, and Tooraj Jamasb. Alleviating Energy Poverty in Europe: Front-runners and Laggards. Copenhagen School of Energy Infrastructure, 2021. http://dx.doi.org/10.22439/csei.pb.012.

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Despite the recognition of affordability as one of the pillars of the sustainable energy transition, according to recent reports from the European Commission, approximately 34 million Europeans were considered as energy poor. In the current spiralling prices of gas and electricity coupled with the impact of COVID-19 on economic activity, unemployment, and households’ disposable income, this social policy issue is likely to gain more prominence in the near future. In this new paper, we propose a new approach to the analysis of energy poverty. Our results show that countries with higher economic
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Gaponenko, Artiom, and Andrey Golovin. Electronic magazine with rating system of an estimation of individual and collective work of students. Science and Innovation Center Publishing House, 2017. http://dx.doi.org/10.12731/er0043.06102017.

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«The electronic magazine with rating system of an estimation of individual and collective work of students» (EM) is developed in document Microsoft Excel with use of macros. EM allows to automate all the calculated operations connected with estimation of amount scored by students in each form of the current control. EM provides automatic calculation of rating of the student with reflection of a maximum quantity of the points received in given educational group. The rating equal to “1” is assigned to the student who has got a maximum quantity of points for the certain date. For the other studen
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