Counterfeiting of modern banknotes poses a significant challenge,prompting the use of various preventive measures.One such measure is the magnetic anti-counterfeiting strip.However,due to its inherent weak magnetic pr...Counterfeiting of modern banknotes poses a significant challenge,prompting the use of various preventive measures.One such measure is the magnetic anti-counterfeiting strip.However,due to its inherent weak magnetic properties,visualizing its magnetic distribution has been a longstanding challenge.In this work,we introduce an innovative method by using a fiber optic diamond probe,a highly sensitive quantum sensor designed specifically for detecting extremely weak magnetic fields.We employ this probe to achieve high-resolution imaging of the magnetic fields associated with the RMB 50denomination anti-counterfeiting strip.Additionally,we conduct computer simulations by using COMSOL Multiphysics software to deduce the potential geometric characteristics and material composition of the magnetic region within the anti-counterfeiting strip.The findings and method presented in this study hold broader significance,extending the RMB 50 denomination to various denominations of the Chinese currency and other items that employ magnetic anti-counterfeiting strips.These advances have the potential to significantly improve and promote security measures in order to prevent the banknotes from being counterfeited.展开更多
Visually impaired persons have difficulty in business that dealing with banknote.This paper proposed a Malaysian banknotes detection system using image processing technology and fuzzy logic algorithm for the visually ...Visually impaired persons have difficulty in business that dealing with banknote.This paper proposed a Malaysian banknotes detection system using image processing technology and fuzzy logic algorithm for the visually impaired.The Malaysian banknote reader will first capture the inserted banknote image,sending it to the cloud server for image processing via Wi-Fi medium.The cloud server is established to receive the banknote image sending from the banknote reader,processing them using perceptual hashing based image searching and fuzzy logic algorithm,then return the detected banknote’s value results back to the banknote reader.The banknote reader will display the results in terms of voice message played on the mini speaker attached on it,to allow visually impaired persons knowing the banknote’s value.This hardware mechanism reduces the size and costs for the banknote reader carried by the visually impaired persons.Experimental results showed that this Malaysian banknotes detection system reached an accuracy beyond 95%by running test on 600 different worn,torn and new Malaysian banknotes.After the banknote image being taken by the banknote reader’s camera,the system able to detect the banknote value in about 480 mili-seconds to 560 mili-seconds for a single sided banknote recognition.The banknotes detection speed was also comparable with human observers reading banknotes,with the response of 1.0908 second per banknote slight difference reading time.The IoT and image processing concepts were successfully blended and it provides an alternative to aid the visually impaired person their daily business transaction activities in a better way.展开更多
基金Project supported by the National Key Research and Development Program of China (Grant No.2021YFB2012600)the Shanghai Aerospace Science and Technology Innovation Fund,China (Grant No.SAST-2022-102)。
文摘Counterfeiting of modern banknotes poses a significant challenge,prompting the use of various preventive measures.One such measure is the magnetic anti-counterfeiting strip.However,due to its inherent weak magnetic properties,visualizing its magnetic distribution has been a longstanding challenge.In this work,we introduce an innovative method by using a fiber optic diamond probe,a highly sensitive quantum sensor designed specifically for detecting extremely weak magnetic fields.We employ this probe to achieve high-resolution imaging of the magnetic fields associated with the RMB 50denomination anti-counterfeiting strip.Additionally,we conduct computer simulations by using COMSOL Multiphysics software to deduce the potential geometric characteristics and material composition of the magnetic region within the anti-counterfeiting strip.The findings and method presented in this study hold broader significance,extending the RMB 50 denomination to various denominations of the Chinese currency and other items that employ magnetic anti-counterfeiting strips.These advances have the potential to significantly improve and promote security measures in order to prevent the banknotes from being counterfeited.
基金Fundamental Research Grant Scheme(FRGS)2020(FRGS/1/2020/ICT06/MMU/02/1),Ministry of Higher Education Malaysia.
文摘Visually impaired persons have difficulty in business that dealing with banknote.This paper proposed a Malaysian banknotes detection system using image processing technology and fuzzy logic algorithm for the visually impaired.The Malaysian banknote reader will first capture the inserted banknote image,sending it to the cloud server for image processing via Wi-Fi medium.The cloud server is established to receive the banknote image sending from the banknote reader,processing them using perceptual hashing based image searching and fuzzy logic algorithm,then return the detected banknote’s value results back to the banknote reader.The banknote reader will display the results in terms of voice message played on the mini speaker attached on it,to allow visually impaired persons knowing the banknote’s value.This hardware mechanism reduces the size and costs for the banknote reader carried by the visually impaired persons.Experimental results showed that this Malaysian banknotes detection system reached an accuracy beyond 95%by running test on 600 different worn,torn and new Malaysian banknotes.After the banknote image being taken by the banknote reader’s camera,the system able to detect the banknote value in about 480 mili-seconds to 560 mili-seconds for a single sided banknote recognition.The banknotes detection speed was also comparable with human observers reading banknotes,with the response of 1.0908 second per banknote slight difference reading time.The IoT and image processing concepts were successfully blended and it provides an alternative to aid the visually impaired person their daily business transaction activities in a better way.
