Source:http://linkedlifedata.com/resource/pubmed/id/10795413
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
4
|
| pubmed:dateCreated |
2000-5-11
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| pubmed:abstractText |
The relative bit density variation graphs of 207 specimen credit cards processed by 12 encoding machines were examined first visually, and then classified by means of hierarchical cluster analysis. Twenty-nine credit cards being treated as 'questioned' samples were tested by way of cluster analysis against 'controls' derived from known encoders. It was found that hierarchical cluster analysis provided a high accuracy of identification with all 29 'questioned' samples classified correctly. On the other hand, although visual comparison of jitter graphs was less discriminating, it was nevertheless capable of giving a reasonably accurate result.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
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| pubmed:issn |
1355-0306
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
39
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
231-8
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| pubmed:dateRevised |
2004-11-17
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| pubmed:meshHeading | |
| pubmed:articleTitle |
The identification of credit card encoders by hierarchical cluster analysis of the jitters of magnetic stripes.
|
| pubmed:affiliation |
Forensic Science Division, Government Laboratory, Kowloon, Hong Kong, China.
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| pubmed:publicationType |
Journal Article
|