TY - JOUR
T1 - A Magnetic Field Imaging System Based on TMR Sensors for Banknote Recognition
AU - Wang, Liqian
AU - Wu, Jingen
AU - Liu, Jiaming
AU - Mao, Ruohao
AU - Guan, Mengmeng
AU - Xian, Dan
AU - Mao, Qi
AU - Wang, Chenying
AU - Wang, Zhiguang
AU - Jiang, Zhuangde
AU - Hu, Zhongqiang
AU - Liu, Ming
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2022
Y1 - 2022
N2 - The high sensitivity and MEMS-compatible process of tunneling magnetoresistance (TMR) sensors provide great opportunities to develop high-resolution magnetic field detection and imaging systems. In this work, we designed a magnetic field imaging (MFI) system based on TMR sensors to detect uniaxial magnetic field components of banknotes including U.S. dollars (USD) and Chinese Yuan (CNY), which clearly reveals the distribution of magnetic anti-counterfeiting markers inside the banknotes. Measurement results of the USD show that the magnetic ink signal is around μT level, and the person portraits on banknotes can be revealed by sensor signals. The testing results of CNY banknotes indicate magnetic color-shifting ink images, as well as a clear magnetic anti-counterfeiting thread. Different from the traditional optical detection, magnetic detection provides unique signals and identification methods. With a satisfactory recognition rate, the proposed MFI system based on TMR sensors demonstrates its promising potential forgery detection and denomination identification of banknotes.
AB - The high sensitivity and MEMS-compatible process of tunneling magnetoresistance (TMR) sensors provide great opportunities to develop high-resolution magnetic field detection and imaging systems. In this work, we designed a magnetic field imaging (MFI) system based on TMR sensors to detect uniaxial magnetic field components of banknotes including U.S. dollars (USD) and Chinese Yuan (CNY), which clearly reveals the distribution of magnetic anti-counterfeiting markers inside the banknotes. Measurement results of the USD show that the magnetic ink signal is around μT level, and the person portraits on banknotes can be revealed by sensor signals. The testing results of CNY banknotes indicate magnetic color-shifting ink images, as well as a clear magnetic anti-counterfeiting thread. Different from the traditional optical detection, magnetic detection provides unique signals and identification methods. With a satisfactory recognition rate, the proposed MFI system based on TMR sensors demonstrates its promising potential forgery detection and denomination identification of banknotes.
KW - Anti-counterfeiting markers
KW - banknote recognition
KW - magnetic field imaging (MFI)
KW - tunneling magnetoresistance (TMR)
UR - https://www.scopus.com/pages/publications/85132095900
U2 - 10.1109/TIM.2022.3170987
DO - 10.1109/TIM.2022.3170987
M3 - 文章
AN - SCOPUS:85132095900
SN - 0018-9456
VL - 71
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
M1 - 9506809
ER -