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In this paper, we propose a method for detecting eye movements based on EOG signal. The EOG signal can be process separately through horizontal and vertical channel from the surface muscle around the eye. This method consists of 2 main processes; feature extraction and classification. Feature extraction is implemented from DCT coefficients of the EOG signals and impulse response of FIR system. The...
This paper presents gait identification method based on Finite Impulse Response (FIR) system characterizing motion of leg. First, the four gait features, area of footstep, angle of footstep, height and width of the human silhouette image, are calculated from the human silhouette image. Then they are expanded into Fourier series to reduce the fluctuation of human body motion. The motion of leg can...
We propose an on-line signature verification method based on finite impulse response(FIR) system characterizing velocity and direction change of barycenter trajectory. First, the discrete cosine transforms (DCTs) of the characteristics are used to reduce fluctuation and extract the feature of handwriting in signing process. Then the signature verification system is realized by the three FIR subsystems...
This paper presents a firearm identification method with rotation invariance. The rotation invariant feature can be extracted by the magnitude of Fourier coefficients of polar image of the cartridge on circles with different radii. Then the fluctuation of the obtained magnitude of Fourier coefficients can be reduced by the FIR(Finite impulse response) Wiener filter. And they are used as the input...
This paper proposes a voice recognition method for Thai voice based on impulse response of Finite Impulse Response (FIR) system. The FIR system characterizes the distinguish feature of Thai vowel. Then FIR system can be realized by considering the Mel-scale frequency cepstral coefficients (MFCC) obtained from the consonant and vowel in particular windows of the voice as the input and the output of...
We propose a personal identification method based on fingerpsilas outline. In this paper first, we extract the fingerpsilas outline from a hand image acquired by the image acquisition system. Secondly we normalize the fingerpsilas outline by expanding the horizontal and vertical components into the KL expansion. The resulting fingerpsilas outline has a rotation invariant feature. Thirdly we expand...
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...
We propose firearm identification method based on FIR system characterizing rotation invariant feature of cartridge case image. The rotation invariant feature is represented by the absolute value of Fourier coefficients of polar image on circles with different radii of the cartridge casepsilas primer. Then the FIR(Finite impulse response) system characterizing the rotation invariant feature of cartridge...
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...
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...
We proposed an on-line writer dependent Khmer recognition method based on FIR system characterizing hand-writing motion. The handwriting motion can be described by two features, barycenter trajectory and its velocity. The barycenter is determined from the center point of the script and the two adjacent pen-point positions with respect to time in handwriting process. Then the barycenter and its velocity...
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