Abstract
Handwriting has continued to persist as a means of communication and recording information every day. This paper describes a new discrimination of handwriting signatures with a new ball-point pen-based device. The piezoelectric element is constructed in the ball-point pen and the phase shift circuit is used for the measurement of the writing pressure. The time series data of the writing pressure is changed to the frequency spectrum using Maximum Entropy Method (MEM). MT (Mahalanobis-Taguchi) method is applied to the frequency spectrums of the handwriting signatures for the discrimination between the true signatures and the false signatures. The experimental results show the possibility of the discrimination of the signatures.
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