Thumwarin, Pitak

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Thumwarin, Pitak
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Thumwarin, P.
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pitak.th@kmitl.ac.th

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    On-line signature verification based on forward and backward variances of signature
    (2014-01-01)
    Wibowo, Canggih Puspo
    ;
    Thumwarin, Pitak
    ;
    Matsuura, Takenobu
    We propose new features called the forward and backward variances of signature for on-line signature verification. In the proposed method, stable features of signature can be characterized by the forward and backward variances of signature. It is shown that signature can be verified by evaluating the difference of K-L coefficients of the forward and backward variances between the reference and signature to be verified. Experiments are performed on public signature database MCYT-100, consists of 5000 signatures from 100 people. The Equal Error Rate is 4.49%. © 2014 IEEE.
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    On-line Thai numeral recognition
    (2000-12-01)
    Matsuura, Takenobu
    ;
    Tangtisanon, Prasan
    ;
    Thumwarin, Pitak
    This paper discusses on-line Thai numeral recognition based on characteristics of pen-point movement in handwriting process. The characteristics are described by expanding the time sequences of pen-point movement in handwriting process into Fourier series, respectively. It assumes here that the coefficients in the Fourier series are considered as the input and output sequences of a system, respectively. The feature of Thai numeral are selected using K-L expansion of the impulse response of the system.
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    On-line writer dependent character recognition for Khmer based on FIR system characterizing handwriting motion
    (2008-12-01)
    Thumwarin, Pitak
    ;
    Khem, Sochenda
    ;
    Janchitraponvej, Kanok
    ;
    Matsuura, Takenobu
    We propose an on-line writer dependent Khmer recognition method based on time-frequency characteristics of handwriting motion. The handwriting motion can be described by two features, barycenter trajectory and its velocity of pen-tip movement. Then the barycenter trajectory and its velocity of the pen-tip movement are expanded into wavelet series to extract the time-frequency characteristics of the handwriting motion. After that, The fluctuation of the wavelet coefficients can be reduced by the FIR(Finite Impulse Response) Wiener filter. Moreover, the FIR system characterizing the time-frequency characteristics of the handwriting motion is introduced by using wavelet coefficients of the velocity and trajectory of the barycenter with fluctuation reduced as the input and output of the FIR system, respectively. The obtained impulse response of the FIR system is considered as the individual feature for a particular character. Finally, Khmer alphabets can be recognized by using the Euclidean distance between the impulse responses obtained from the reference alphabets and those of the alphabets to be recognized. Khmer character recognition experiments were performed on a database consisting of 6,750 of numerals and alphabets written by 17 people. As the results, the average of the recognition rate was 98.17%. © 2008 SICE.
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    On-line writer identification system characterizing velocity and areal velocity in handwriting process
    (2009-12-01)
    Matsuura, Takenobu
    ;
    Thumwarin, Pitak
    In this paper,we propose an on-line writer identification system characterizing velocity and areal velocity of pen-tip movement in handwriting process. The writer identification system consists of two finite impulse response (FIR) systems characterizing the velocity and areal velocity in handwriting process. Individual handwriting feature is represented by the impulse response of the FIR system. Writer can be identified by evaluating the difference between the impulse responses of the FIR systems for the reference and a person to be identified. In our experiments 2,000 Thai numerals were used to identify 10 different writers.
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    On-line writer identification method based on FIR system characterizing pen-tip movement
    (2008-12-01)
    Matsuura, Takenobu
    ;
    Thumwarin, Pitak
    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 as the input and output,respectively. Finally, writer identification experiments are given to show the effectiveness of the proposed method. Copyright © 2008 by Department of Electronics, AGH University of Science and Technology.