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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...
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 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...
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...
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