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Audio forensics from gunshot for firearm identification
(2014-01-01)
Thumwarin, P.
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Wakayaphattaramanus, N.
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Matsuura, T.
;
Yakoompai, K.
The gunshot blast is one of the evidences used to identify the criminal gun in the shooting scene. We proposed a method of using the gunshot blast to identify the firearm caliber in terms of audio forensics. The experiments were performed on the database consisting of 80 audio files of gunshot sounds fired from 8 different guns. At first, the autocorrelation functions of the gunshot sounds were calculated and normalized in the preprocessing stage. Then the Fourier cosine coefficients could be used to reduce the fluctuation and to extract the features of gunshot sounds. In addition, the gun sounds could also be verified by evaluating the difference among the Fourier cosine coefficients of the reference, and then the gun caliber could be identified. © 2014 IEEE.
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Gait identification based on FIR system characterizing motion of leg
(2013-12-01)
Thumwarin, P.
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Srisuk, K.
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Matsuura, T.
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 be characterized by two FIR gait identification systems. For the first FIR system, the Fourier coefficients of the width of human silhouette image and the area of footstep are used as input and output of the system, respectively. For the second FIR system, the Fourier coefficients of the height of the human silhouette image and the angle of footstep are used as input and output of the system, respectively. The obtained impulse responses of the two FIR systems are used as the individual feature for gait identification. The gait identification experiments were performed on CASIA GAIT Dataset B [6], which contains 8,184 gait data for 11 view angles from 124 persons. The average of error rates obtained from 90° view angle was 3.48%. © 2013 IEEE.
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Iris recognition based on dynamic radius matching of iris image
(2012-10-02)
Thumwarin, P.
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Chitanont, N.
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Matsuura, T.
This paper presents iris recognition method based on dynamic radius matching of iris image. First, the iris images are segmented to remove the eyelashes and eyelids. Then the individual feature of the iris image can be extracted by expanding their polar images into Fourier series. The obtained Fourier coefficient is used as the individual features for iris recognition. Moreover, in order to reduce the fluctuation caused by size of pupil and iris, the dynamic radius matching is introduced to calculate the similarity between the iris images. Experimental results were performed on CASIA V1.0 [6] public iris database having 756 iris images from 108 persons. The obtained accuracy rate was 94.8%. © 2012 IEEE.
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On-line signature verification based on FIR system characterizing motion pressure
(2011-12-01)
Thumwarin, P.
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Pernwong, J.
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Matsuura, T.
We propose an on-line signature verification method based on finite impulse response(FIR) system characterizing motion pressure of pen-point trajectory in signing process. The discrete cosine transforms(DCTs) of the handwriting feature is used to reduce the fluctuation and extract the feature of handwriting. The signature verification system is realized by four FIR subsystems. Then motion pressure can be characterized by using the FIR subsystem having the DCTs of the area pressure and motion pressure as the input and the output of the FIR system, respectively. The obtained impulse responses of the four FIR subsystems are used as the individual feature for signature verification. Finally, the signature can be verified by evaluating the difference between the impulse responses of the FIR subsystems for a reference signature and the signature to be verified. The signature verification experiments were performed on the SUBCORPUS-100 MCYT [J. Ortega-Garcia et al. 2003] signature database consisting of 5,000 signatures from 100 signers. The propose method yielded equal error rate(EER) 4.38 % on skilled forgeries. © 2011 ACM.
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On-line signature verification based on FIR system characterizing velocity and direction change of barycenter trajectory
(2010-12-01)
Thumwarin, P.
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Pernwong, J.
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Wakayaphattaramanus, N.
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Matsuura, T.
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. The obtained impulse responses of the three FIR subsystems are used as the individual feature for signature verification. Signature can be verified by evaluating the difference between the impulse responses of the FIR subsystems for a reference signature and the signature to be verified. The signature verification experiments were performed on the SUBCORPUS-100 MCYT signature database[6] consisting of 5,000 signatures from 100 signers. ©2010 IEEE.
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Voice recognition for Thai based on impulse response of FIR system characterizing the relation between consonant and vowel
(2010-11-29)
Tangjitjetsada, M.
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Thumwarin, P.
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Matsuura, T.
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 the system, respectively. The obtained impulse response of the FIR system is used as feature parameter to recognize Thai vowel. Finally, Thai vowel can be recognized by evaluating the similarity between the reference and the feature parameter to be recognized using Dynamic Programming (DP) matching. It was shown from the experimental results that the recognition rate in the proposed method is better than the conventional method. Copyright © 2010 by Institute of Electronics, Silesian University of Technology.
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An adaptive generalized RAKE CDMA receiver for layered space time coded systems in multipath fading channels
(2010-07-30)
Keovkolyan, T.
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Nugrahani, D.
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Thumwarin, P.
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Teekapakvisit, C.
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Matsuura, T.
An adaptive generalized RAKE receiver for Layered Space Time Coded CDMA (LSTC-CDMA) system has been proposed in this paper. The proposed Generalized RAKE receiver, based on a joint adaptive iterative detection and decoding algorithm, adaptively mitigates the effect of multipath fading and cancels the system interferences such as Co-Channel Interference (CCI) and Multiple Access Interference (MAI). The Partially Filtered Gradient Least Means Square (PFGLMS) algorithm is used for both feed-forward filter and feedback filter in the adaptive detection in order to determine the weight coefficient of each finger element. The performance of the system is evaluated by simulation results for the various numbers of RAKE fingers in multipath Rayleigh fading channels.
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Firearm identification system with rotation invariance
(2010-01-01)
Thumwarin, P.
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Prasit, C.
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Yakoompai, K.
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Matsuura, T.
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 and the output of the FIR system characterizing the rotation invariant feature of cartridge image. The impulse response of the FIR system is used as the unique feature for firearm identification. Finally, the firearm can be identified by the Fisher's linear discriminant function. The experimental results are given to show the effectiveness of the proposed method. ©ICROS.
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FIR firearm identification system
(2009-01-01)
Thumwarin, P.
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Prasit, C.
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Suwanvesh, T.
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Matsuura, T.
We propose a FIR(Finite impulse response) firearm identification system. The firearm can be identified by using the impulse response of the FIR system characterizing the rotation invariant feature of the cartridge case image. In this case, the rotation invariant feature can be extracted by the magnitude of Fourier coefficients of polar image of the cartridge. Then the obtained Fourier coefficients are used as the input and the output of the FIR system. The impulse response of the FIR system is used as the unique feature for firearm identification. Finally, the firearm can be identified by the Fisher's linear discriminant function. The experimental results are taken to show the effectiveness of the proposed method.
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Firearm identification based on rotation invariant feature of cartridge case
(2008-12-01)
Thumwarin, P.
;
Prasit, C.
;
Matsuura, T.
This paper, proposes firearm identification method based on rotation invariant feature of cartridge case image. The rotation invariance feature is represented by the absolute value of Fourier coefficients of polar image of cartridge case on circles with different radii. The absolute value of Fourier coefficients is considered as the individual feature of the particular gun. Finally, the firearm can be identified by the distance between the absolute value of Fourier coefficients obtained from the reference cartridge case and the cartridge case to be identified. The firearm identification experiments are given to show the effectiveness of the proposed method. © 2008 SICE.
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