Method and device for carrying out identification of bank notes based on spectrum analysis technique

Abstract

The invention discloses a method and a device for carrying out identification of bank notes based on a spectrum analysis technique. The device comprises a light source, a bank-note passing channel, a monochromator, a photosensitive sensor, a signal amplifier and a digital processing unit, wherein a chromatic dispersion element in the monochromator is a diffraction grating, a prism, or an optical filter with a spectral resolution. The method comprises the following steps of: carrying out chromatic dispersion on reflected and transmitted light rays of a bank note by the monochromator; receiving the light intensity of each waveband by a receiving sensor so as to obtain reflected and transmitted spectral data of each waveband; carrying out relative analysis according to the data of a to-be-discriminated bank note and the data of a standard bank note, thereby obtaining relative coefficients; and discriminating whether the bank note is true and false according to the relative coefficients.

Description

technical field [0001] The invention relates to a method and a device for identifying the authenticity of banknotes, which are suitable for the needs of identifying authenticity of banknotes. Background technique [0002] At present, there are mainly the following optical identification methods in the field of banknote authenticity identification: [0003] 1. Use the three-primary-color light-emitting diodes to switch the light in turn, and use the line array sensor to sample the three-primary-color reflection and transmission data of banknotes. Alternatively, a white light source is used, and three sets of sensor groups with three primary color filters are used for simultaneous reflection and transmission sampling. After correcting the data of the three primary colors, the calculation of the chromaticity coordinates is carried out, and the data of the banknote to be identified is compared with the template to identify the authenticity. [0004] 2. Check the infrared ink o...

AI Technical Summary

Problems solved by technology

[0007] The above methods can identify the authenticity of banknotes to a large extent, but there are still some anti-counterfeiting features that are easy to imitate, and the feature positions are small, so they cannot effectively identify counterfeit coins and patchwork coins. Terahertz spectrum analysis is used. Although the technology is relatively accurate, the current implementation technology is complicated, the cost is high, and the identification speed is slow, so it cannot be applied to cash processing equipment such as banknote counters and sorting machines.

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