1. Evidence evaluation in fingerprint comparison and automated fingerprint identification systems—Modelling within finger variability 
Nicole M. Egli, Christophe Champod, Pierre Margot 
Forensic Science International 
Volume 167, Issue 2, Pages (April 2007)
DOI: /j.forsciint
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2. Fig. 1 Illustration of the 6 peripheral minutiae.
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3. Fig. 2 Illustration of the 10 peripheral minutiae.
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4. Fig. 3 Illustration of the 6 central minutiae.
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5. Fig. 4 Illustration of the 10 central minutiae.
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6. Fig. 5
Probability plot between scores obtained from 66 livescans and a Weibull distribution.
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7. Fig. 6
Weibull probability plot of the scores obtained using 6 minutiae on marks visualised using DFO compared to 15 fingerprints of the same finger.
Forensic Science International  , DOI: ( /j.forsciint )
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8. Fig. 7
Boxplots of scores for 6 minutiae on livescans (Lsc) and marks visualized using four methods (CA, powder, Ninhydrin and DFO) as well as a random selection of marks visualised using any of the four methods (All).
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9. Fig. 8
Histograms of the scores obtained for 6, 7, 8, 9 and 10 minutiae in a peripheral region.
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10. Fig. 9
Histograms of the scores obtained for 6, 7, 8, 9 and 10 minutiae in a central region.
Forensic Science International  , DOI: ( /j.forsciint )
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11. Fig. 10 Weibull probability plot for 7 minutiae in central region.
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12. Fig. 11 Tippett plot obtained using the scores for 7 minutiae.
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13. Fig. 12 The mark (a) and the print (b) considered in the case example.
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14. Fig. 13
Lognormal probability plot for between finger variability on 7 minutiae in the peripheral region.
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15. Fig. 14
Within and between finger scores distribution with the score of the comparison indicated.
Forensic Science International  , DOI: ( /j.forsciint )
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