Iranian cashes recognition using mobile

In economical societies of today, using cash is an inseparable aspect of human life. People use cashes for marketing, services, entertainments, bank operations and so on. This huge amount of contact with cash and the necessity of knowing the monetary value of it caused one of the most challenging problems for visually impaired people. In this paper we propose a mobile phone based approach to identify monetary value of a picture taken from cashes using some image processing and machine vision techniques. While the developed approach is very fast, it can recognize the value of cash by average accuracy of about 95% and can overcome different challenges like rotation, scaling, collision, illumination changes, perspective, and some others.Comment: arXiv #13370

Geometric and Grayscale Template Matching for Saudi Arabian Riyal Paper Currency Recognition

Detecting the authenticity of paper currencies using automated based Paper Currency Recognition (PCR) with image processing techniques was still a hot topic of discussion, due to the circulation of counterfeit currency that was still overwhelming in some countries. There was a downside along with this advancement in technology in the field of color printing, duplication, and scanning, because it was became one of the supporting factors of the increasing crime rate in production of counterfeit money. Our system has performed a PCR approach based on image processing techniques. In this study, the SAR banknote was the object to be recognized and detected its authenticity with the development of the previous method, which was incorporating the Geometric Template Matching and Grayscale Template Matching. In addition to the pattern recognition process, the classification process on 1 SAR, 2 SAR, 5 SAR, and 10 SAR was also performed. From PCR test up to 100 sample data, for each tested banknote value obtained the average value of the best accuracy level from incorporating GeoMatchingScore and GrayMatchingScore for the classification process was 95.25%. While the average level of system accuracy in recognizing counterfeit money on each banknote obtained a maximum value of 100%

Neurometrics applied to banknote and security features design

El objetivo de este trabajo es presentar una metodología sobre la aplicación del neuroanálisis en el diseño de billetes y elementos de seguridad. Tradicionalmente, la evaluación de la percepción de los billetes se ha basado en respuestas explícitas de las personas, obtenidas a través de cuestionarios y entrevistas. Las medidas implícitas se refieren a métodos y técnicas capaces de capturar los procesos mentales implícitos de las personas. La neurociencia ha demostrado que la consciencia humana no interviene en la mayoría de los procesos cerebrales que regulan las emociones, actitudes, comportamientos y decisiones. Es decir, estos procesos implícitos son funciones cerebrales que se producen automáticamente y sin control consciente. La metodología sobre el neuroanálisis puede aplicarse al diseño de billetes y elementos de seguridad, y utilizarse como una herramienta de análisis eficaz para evaluar los procesos cognitivos de las personas, como el interés visual, la atención a ciertas áreas del billete, las emociones, la motivación, la carga mental para comprender el diseño y el nivel de estimulación. La metodología del neuroanálisis propuesta ofrece un criterio para tomar decisiones sobre qué diseños de billetes y elementos de seguridad tienen una configuración más adecuada para el público, basada en el seguimiento de procesos conscientes, usando medidas explícitas tradicionales, y procesos inconscientes, usando técnicas neurométricas. La metodología del neuroanálisis trata variables neurométricas cuantificables obtenidas del público al procesar eventos como el movimiento ocular, la fijación visual, la expresión facial, la variación del ritmo cardíaco, la conductancia de la piel, etc. La aplicación de un estudio de neuroanálisis se lleva a cabo con un grupo de personas representativo de la población para la que se realiza el diseño de un billete o los elementos de seguridad. En el estudio neurométrico se ofrece a los participantes muestras físicas adecuadamente preparadas para recoger las diferentes respuestas neurométricas de los participantes, que luego se procesan para sacar conclusiones.The aim of this paper is to present a methodology on the application of neuroanalysis to the design of banknotes and security features. Traditionally, evaluation of the perception of banknotes is based on explicit personal responses obtained through questionnaires and interviews. The implicit measures refer to methods and techniques capable of capturing people’s implicit mental processes. Neuroscience has shown that, in most brain processes regulating emotions, attitudes, behaviours and decisions, human consciousness does not intervene. That is to say, these implicit processes are brain functions that occur automatically and without conscious control. The methodology on neuroanalysis can be applied to the design of banknotes and security features, and used as an effective analysis tool to assess people’s cognitive processes, namely: visual interest, attention to certain areas of the banknote, emotions, motivation and the mental load to understand the design and level of stimulation. The proposed neuroanalysis methodology offers a criterion for making decisions about which banknote designs and security features have a more suitable configuration for the public. It is based on the monitoring of conscious processes, using traditional explicit measures, and unconscious processes, using neurometric techniques. The neuroanalysis methodology processes quantifiable neurometric variables obtained from the public when processing events, such as eye movement, sight fixation, facial expression, heart rate variation, skin conductance, etc. A neuroanalysis study is performed with a selected group of people representative of the population for which the design of a banknote or security features is made. In the neurometric study, suitably prepared physical samples are shown to the participants to collect their different neurometric responses, which are then processed to draw conclusions

Providing Fault Detection from Sensor Data in Complex Machines That Build the Smart City

Household appliances, climate control machines, vehicles, elevators, cash counting machines, etc., are complex machines with key contributions to the smart city. Those devices have limited memory and processing power, but they are not just actuators; they embed tens of sensors and actuators managed by several microcontrollers and microprocessors communicated by control buses. On the other hand, predictive maintenance and the capability of identifying failures to avoid greater damage of machines is becoming a topic of great relevance in Industry 4.0, and the large amount of data to be processed is a concern. This article proposes a layered methodology to enable complex machines with automatic fault detection or predictive maintenance. It presents a layered structure to perform the collection, filtering and extraction of indicators, along with their processing. The aim is to reduce the amount of data to work with, and to optimize them by generating indicators that concentrate the information provided by data. To test its applicability, a prototype of a cash counting machine has been used. With this prototype, different failure cases have been simulated by introducing defective elements. After the extraction of the indicators, using the Kullback–Liebler divergence, it has been possible to visualize the differences between the data associated with normal and failure operation. Subsequently, using a neural network, good results have been obtained, being able to correctly classify the failure in 90% of the cases. The result of this application demonstrates the proper functioning of the proposed approach in complex machines

Currency security and forensics: a survey

By its definition, the word currency refers to an agreed medium for exchange, a nation’s currency is the formal medium enforced by the elected governing entity. Throughout history, issuers have faced one common threat: counterfeiting. Despite technological advancements, overcoming counterfeit production remains a distant future. Scientific determination of authenticity requires a deep understanding of the raw materials and manufacturing processes involved. This survey serves as a synthesis of the current literature to understand the technology and the mechanics involved in currency manufacture and security, whilst identifying gaps in the current literature. Ultimately, a robust currency is desire

Detection of Anti-Counterfeiting Markers through Permittivity Maps Using a Micrometer Scale near Field Scanning Microwave Microscope

[EN] This paper describes the use of microwave technology to identify anti-counterfeiting markers on banknotes. The proposed method is based on a robust near-field scanning microwave microscope specially developed to measure permittivity maps of heterogeneous paper specimens at the micrometer scale. The equipment has a built-in vector network analyzer to measure the reflection response of a near-field coaxial probe, which makes it a standalone and portable device. A new approach employing the information of a displacement laser and the cavity perturbation technique was used to determine the relationship between the dielectric properties of the specimens and the resonance response of the probe, avoiding the use of distance-following techniques. The accuracy of the dielectric measurements was evaluated through a comparative study with other well-established cavity methods, revealing uncertainties lower than 5%, very similar to the accuracy reported by other more sophisticated setups. The device was employed to determine the dielectric map of a watermark on a 20 EUR banknote. In addition, the penetration capabilities of microwave energy allowed for the detection of the watermark when concealed behind dielectric or metallic layers. This work demonstrates the benefits of this microwave technique as a novel method for identifying anti-counterfeiting features, which opens new perspectives with which to develop optically opaque markers only traceable through this microwave technique.This paper has been financially supported through the grant reference BES-2016-077296 of the call Convocatoria de las ayudas para contratos predoctorales para la formacion de doctores de 2016 by Ministerio de Economia y Competitividad (MINECO) and by European Social Funds (ESF) of European Union, and the project SEDMICRON-TEC2015-70272-R (MINECO/FEDER) supported by Ministerio de Economia y Competitividad (MINECO) and by European Regional Development Funds (ERDF) of European Union.Gutiérrez Cano, JD.; Catalá Civera, JM.; Plaza González, PJ.; Penaranda-Foix, FL. (2021). Detection of Anti-Counterfeiting Markers through Permittivity Maps Using a Micrometer Scale near Field Scanning Microwave Microscope. Sensors. 21(16):1-14. https://doi.org/10.3390/s21165463S114211