&lt;title&gt;Optical processor for fingerprint identification&lt;/title&gt;

Karins, James P.; Mills, Stuart; Dydyk, Robert Barry

doi:10.1117/12.266283

Cited by 4 publications

(1 citation statement)

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“…The use of optical processors 20,21 or parallel processors implemented in hardware is an option to improve the speed of the image matching compared to our brute force method.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms

Geradts

Bijhold

Hermsen

et al. 2001

Forensic Science International

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“…The use of optical processors 20,21 or parallel processors implemented in hardware is an option to improve the speed of the image matching compared to our brute force method.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms

Geradts

Bijhold

Hermsen

et al. 2001

Forensic Science International

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<title>Pattern recognition in a database of cartridge cases</title>

1999

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On the market several systems exist for collecting spent ammunition for forensic investigation. These databases store images of cartridge cases and the marks on them. The research in this paper is focussed on the different methods of feature selection and pattern recognition that can be used for comparison.For automatic comparison of these images it is necessary to extract firstly the useful parts of the images. On databases of 2000 images several preprocessing steps have been tested and compared. The results and methods, which have been implemented, are presented.

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<title>Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms</title>

Geradts

Bijhold

Hermsen

et al. 2001

Enabling Technologies for Law Enforcement and Security

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On the market several systems exist for collecting spent ammunition data for forensic investigation. These databases store images of cartridge cases and the marks on them. Image matching is used to create hit lists that show those cartridges in the database which have marks that are most similar to the marks of the cartridge case under investigation. The research in this paper focuses on the different methods of feature selection and pattern recognition that can be used for optimizing the results of image matching. A fast pre-selection method based on signatures is applied that is based on the Kanade Lucas Tomasi (KLT) equation. The positions of the points computed with this method are compared. In this way 11 of the 49 images were in the top position in combination with the third scale of the à trous wavelet. Light conditions and the prominence of the marks determines to a large extent whether correct matches are found in the top ranked position. All images were retrieved in the top five percent of the complete database. This method takes only a few minutes, which can be structured for comparisons to be carried out in seconds.

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<title>Optical processor for fingerprint identification</title>

Cited by 4 publications

References 0 publications

Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms

Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms

<title>Pattern recognition in a database of cartridge cases</title>

<title>Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms</title>

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