A Magnetic Field Imaging System Based on TMR Sensors for Banknote Recognition

作者：Liqian Wang, Jingen Wu, Jiaming Liu, Ruohao Mao, Mengmeng Guan, Dan Xian, Qi Mao, Chenying Wang, Zhiguang Wang, Zhuangde Jiang, Zhongqiang Hu, Ming Liu · 发表于：IEEE Transactions on Instrumentation and Measurement · 年份：2022 · DOI：10.1109/tim.2022.3170987 · 被引用次数：8 · 研究领域：Currency Recognition and Detection、Cultural Heritage Materials Analysis、Digital Media Forensic Detection

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 the uniaxial magnetic field components of banknotes including US 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 the sensor signals. The testing results of the 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.