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Examination of Firearms Review: 2007 to 2010 - Interpol

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subject <strong>of</strong> several articles (88-91) and (92) analyses a risk in image<br />

enhancement.<br />

The incorporation <strong>of</strong> the Prüm treaty is defined as follows: a decentralised system will<br />

be used, where each nation has its database, and the contact points <strong>of</strong> other nations<br />

will have access <strong>to</strong> reference data (67). A detailed description <strong>of</strong> how this data is <strong>to</strong><br />

be exchanged (format, communication channels) is provided (68). Estimated daily<br />

maximum throughputs for the different countries (for different search modalities) are<br />

available (69). Good practice for such searches is proposed (70); e.g. <strong>to</strong> start with the<br />

most relevant searches, and <strong>to</strong> grade the importance between crime types.<br />

An overview <strong>of</strong> past work on fingerprint quality in US-VISIT is presented (72). A<br />

performance improvement by using two fingers and two stages (rather than<br />

increasing the number <strong>of</strong> fingers used <strong>to</strong> ten) for US-VISIT has been proposed. This<br />

two-stage process is compared <strong>to</strong> a two-stage process including two fingers and the<br />

face (71). The two-stage process for fingerprints consists first in a minutiae-based<br />

matcher and second on a texture-based matcher. The detection probability is<br />

increased with respect <strong>to</strong> minutiae based matching both by using minutia matching<br />

and face and minutiae and texture matching, but more so for the second option.<br />

The challenge <strong>of</strong> the increasing use <strong>of</strong> data interchange has been thematised.<br />

Discussions <strong>of</strong> both data interchange between countries (73) and between states,<br />

cities and federal government (74) have been published. This second reference also<br />

includes a his<strong>to</strong>rical overview and discusses connectivity between systems, which is<br />

opposed <strong>to</strong> interoperability (74). The interoperability between systems from different<br />

vendors and related challenges are described and investigated (75); in particular, the<br />

reduction <strong>of</strong> information in standard-compliant minutiae templates (as opposed <strong>to</strong> the<br />

proprietary format) significantly increased error rates in the different systems used, in<br />

a test carried out on a <strong>to</strong>tal <strong>of</strong> 4041 index fingers.<br />

A comparison between different systems has been carried out (76). The different<br />

technology providers who participated in the trial were Mo<strong>to</strong>rola, Inc., Sonda<br />

Technologies, Ltd., NEC Corporation, Peoplespot, Inc., SPEX Forensics, Inc.,<br />

Cogent, Inc., L1 Identity Solutions and BioMG, Ltd. Each technology provider<br />

submitted a s<strong>of</strong>tware development kit (SDK), and the submission <strong>of</strong> research<br />

algorithms was encouraged for the study. The test set consisted <strong>of</strong> 835 marks and<br />

their ten-print mates, showing sufficient information <strong>to</strong> result in an identification<br />

conclusion. Two background databases were also used, one containing 5000 records<br />

and one containing 10000 records (50000 and 100000 fingerprints). The rank 1 and<br />

rank 10 identification rates are reported, as well as other measures. Particularly<br />

interesting is the fact that both the original images at 1000 dpi and the same images<br />

downsampled <strong>to</strong> 500 dpi were used. Most s<strong>of</strong>tware development kits showed an<br />

increase in performance when 1000 dpi images were used (as opposed <strong>to</strong> 500 dpi);<br />

this improvement was not huge, however. Also, while some hits were gained with the<br />

increase in resolution, some others were lost. A related short communication has<br />

also been published (93).<br />

Database filtering, indexing and clustering has been treated in the following articles:<br />

(78) and (79) use singular points for database filtering; indexing is proposed by (80),<br />

(81) and (82), and finally database clustering is the subject <strong>of</strong> (83). The specialised<br />

229

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