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In this paper, a novel method is proposed to discriminate the truth and denomination of notes. In order to perform a reliable and useful discrimination of notes, the use of both inherent and genuine properties is effective. When the surface of the note is scanned with an optical fiber feeler, peculiar vibrating motions of the fiber feeler tip occur with various surface properties and its motion is measured as a waveform, as shown in Fig.1. By analyzing this, two components correlated to each different surface property can be extracted independently: The first is the low-frequency component, and the second is a stick-slip component. The low-frequency component is derived from the variable density property of the surface print pattern. As shown on a left-side of Fig.2, the low-frequency component of the measured waveform is directly correlated to the variabledensity of an example print pattern. Consequently, the lowfrequency component is used to discriminate the surface print pattern, i.e. the denomination. Essentially, the zero-cross points Dn shown on the right-side of Fig.2 are compared with a data-base of the print color changing points of genuine notes and a difference between them is evaluated. In contrast, the stick-slip component is derived from the roughness property, as shown in Fig.3. Since an undulation of the intaglio print, which is inherent in only genuine notes, causes the stick-slip, truth can be discriminated by evaluat-

Truth and Denomination Discrimination of Notes using Surface Properties Evaluated by Scanning with Optical Fiber Feeler