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We propose an on-line writer identification method based on the handwriting velocity and curvature of script. First, we calculate the autocorrelation functions for the normalized handwriting velocity and the normalized curvature of script, respectively. Secondly, we realize a finite impulse response (FIR) system having the Fourier coefficients of the obtained autocorrelation functions as the input...
This paper proposes an unconstrained handwritten Thai character recognition method using multiple representations. The proposed method can recognize different handwritten Thai characters having small curve segments with clockwise and counter clockwise directions, although the conventional method such as the elastic matching method was difficult to recognize them. As the experimental results, the recognition...
In this paper on-line writer identification problem is reduced to FIR system identification problem. Then person can be identified by evaluating the difference between the impulse responses of the FIR system for the reference and the person to be identified. The FIR system is realized by considering the DCTs of the horizontal and vertical components of the pen-tip movement with reduced fluctuation...
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