DocumentCode
2494374
Title
Firearm identification based on FIR system characterizing rotation invariant feature of cartridge case image
Author
Thumwarin, P. ; Prasit, C. ; Boonbumroong, P. ; Matsuura, T.
Author_Institution
Fac. of Eng., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok
fYear
2008
fDate
26-28 Nov. 2008
Firstpage
1
Lastpage
6
Abstract
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 casepsilas primer image is introduced. The absolute value of Fourier coefficients obtained from the polar image on the circles with different radii are used as the input and output of the FIR system, respectively. The obtained impulse response of the FIR system is considered as the unique feature of the individual gun. Finally, a firearm can be identified by using the Fisherpsilas linear discriminant function of the obtained impulse response of the FIR system. The firearm identification experiments are conducted to show the effectiveness of the proposed method.
Keywords
Fourier series; object detection; transient response; weapons; FIR system; Fourier coefficients; cartridge case image; finite impulse response; firearm identification; linear discriminant function; rotation invariant feature; Finite impulse response filter; Focusing; Forensics; Fourier series; Guns; Head; Information technology; Layout; Linear discriminant analysis; Manufacturing; FIR system; Fourier series; firearm identification; rotation invariant;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference
Conference_Location
Christchurch
Print_ISBN
978-1-4244-3780-1
Electronic_ISBN
978-1-4244-2583-9
Type
conf
DOI
10.1109/IVCNZ.2008.4762085
Filename
4762085
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