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Examination of Phalangeal Friction Ridge Flow Trends

UTS Primary Supervisor: Dr. Xanthe Spindler

NSWPF External Supervisors: Andrew Chapman, Michael Whyte, Joshua Thompson

Centre for Forensic Science, University of Technology Sydney, Broadway

Chloe George

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Unlike the friction ridge skin on the fingertips, palms and even the soles of the feet, the friction ridge skin on the medial and proximal phalanges has been little studied

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Review of the Literature

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What do we know?

Smith, R. 2009, Demystifying Palm Prints, pp.39

Smith, R. 2005, Demystifying Palm Prints, pp.40

"Although empirical studies have not been conducted on this subject, there are several consistencies that can be used very successfully used for orientation purposes”

‘Down and Out’ Ridge Flow

‘Wavy’ Ridge Flow

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Ploetz-Radmann’s Phalangeal Classification System

Marie Ploetz-Radmann’s 1937

‘Skin Ridge Patterns of the Lower Two Phalanges of the Human Hand’

  • Devised classification system for the ridge configurations of the medial & proximal phalanges

  • 12 General pattern types

    • On the basis of direction, she found 29 sub-types

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Considerations with Prior Research

Ploetz-Radmann published 85+ years ago

Dated

    • Perspective of anthropologist
    • Focus on bilateral and gender differences

Anthropologically-Directed

    • Classification system relatively unknown to Forensic Science community
    • Not referenced in any well-known text/manuals on friction ridge skin

Obscurity of text

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Aims and Research Questions

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Aims and Research Questions

3

2

1

Aim: Validate Ploetz Radmann’s study to determine whether consistent universal trends exist in the ridge flow on the phalanges of the fingers

Can the friction ridges on the middle and proximal phalanges be classified into patterns?

Are there trends in the distribution and frequency of patterns found on the phalanges?

Are there trends in the direction of ridges on the phalanges of the fingers?

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Materials and Methods

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Methodology

Fingerprint Collection

Pattern classification

Statistical Analysis

Using Ploetz-Radmann’s classification system

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Data Collection

1. Black Fingerprint Powder + White Adhesive Lift + Transparent Sheet

2. Fingerprints Provided by the NSWPF

207 Participants = 5796 phalangeal prints

All fingerprints deidentified

Ethics Approval Number: ETH18-2521

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Ploetz-Radmann’s Classification system

12 Pattern Types

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1. Stripe

A group of straight, parallel ridges that can be either diagonal or horizontal

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2. Hook

Similar to Stripe except the ridges start or end with a small curve or ‘hook’

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3. Bow

Ridges form a curve/arch horizontally across the phalange

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4. Wave

A wave, as it sounds, consists of two arcs joined together

Typically flows horizontally

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5. Angle

Two directions of ridges meet at an angle.

One set of ridges run parallel to finger creases

The other set of ridges run diagonally

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6. Arc Angle

Similar to Angle except ridges running parallel to creases will form a curve or an ‘arc’

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7. Double Angle

The double angle pattern, as it sounds, is the combination of two angles

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8. Double Arc Angle

The combination of two arc angles

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9. Double Sheet

Two arcs/curves meeting back to back

Often in the approximate midline of the phalange

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10. Inclusion

Typically contains a spindle-shaped core

Can be completely enclosed or opened to the left or right side

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11. Feather

Arrangement of acute to obtuse angles forming horizontally across the phalange.

Image gathered from: Ploetz-Radmann, M 1937, Hautleistenmuster der unteren beiden Fingerglieder der menschlichen Hand’, Zeitschrift für Morphologie und Anthropologie, vol. 36.

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12. Rare

Any pattern that could not be classified into previous 11 patterns

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Ploetz-Radmann’s Phalangeal Classification System

Images gathered from: Ploetz-Radmann, M 1937, Hautleistenmuster der unteren beiden Fingerglieder der menschlichen Hand’, Zeitschrift für Morphologie und Anthropologie, vol. 36, pp. 281-310.

Stripe (S)

Hook (H)

Wave (WI)

Bow/Arch (B)

Angle (N)

Arc Angle (AN)

Double Angle (DN)

Double Arc Angle (DAN)

Double Sheet (C)

Inclusion (C)

Feather (C)

Rare (C)

Compound/Combination

1

2

4

3

5

6

7

8

9

9

10

11

12

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Ridge Direction

Right hand perspective

Radial

Ulnar

Transverse

Distal-Radial

Distal-Ulnar

Proximal-Radial

Proximal-Ulnar

Proximal

Distal

Stripes and Compound

Double Angles and Double Arc Angles

Waves

Bows

Hooks, Angles and Arc Angles

Radial

Ulnar

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Results

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Distribution and Frequency of Patterns

Population Frequencies of Patterns

  • Hook – most frequent pattern followed by Angle and Stripe

  • Wave & Double Arc Angle rarely observed

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Frequency of Patterns on Individual Fingers

  • Double Arc Angles not on thumb or little finger

  • Double Angles not on thumbs

  • Bows characteristic of middle and ring fingers

  • Thumbs and Little fingers = less variety of patterns

  • NA = not enough ridge detail to classify

Distribution and Frequency of Patterns

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Frequency of patterns on medial phalanges

91.45% of all Arc Angle patterns occur on the medial phalanges

92.6% of all Double Angle patterns occur on the medial phalanges

100% of all Double Arc Angle patterns were found on the medial phalanges

85.66% of all Angle patterns occur on medial phalanges

Distribution and Frequency of Patterns

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Frequency of patterns on proximal phalanges

87.6% of all combination patterns occur on the proximal phalanges

77.03% of all stripe patterns occurred on the proximal phalanges

75.68% of all wave patterns occur on the proximal phalanges

73.30% of all hook patterns occur on the proximal phalanges

Distribution and Frequency of Patterns

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Ridge Direction Trends

  • Thumbs & Index fingers – radial trend

  • Little Fingers + Left Ring – ulnar trend

  • Right Ring finger + Middle fingers show greater variability with directions

Right hand perspective

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Ridge Direction Trends

'Down and Out’ ridge flow on ‘outer fingers’: Thumb, Index & Little and Left Ring Fingers

More variety of directions on inner fingers

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Ridge Direction Trends

  • Thumbs
    • Left – 96.2% radial-oriented
    • Right – 100% radial-oriented

    • Little Fingers
      • Left – 100% ulnar-oriented
      • Right – 99.4% ulnar-oriented

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Ridge Direction Trends

54% of directions are ulnar-oriented

30% of directions are radial-oriented

Left hand shows a slight trend towards an ulnar direction

56% of directions are radial-oriented

31% of directions are ulnar-oriented

Right hand shows a slight trend towards a radial direction

LEFT HAND

RIGHT HAND

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Statistical Tests of Significance

Moods Median Test

Population Medians

Were population medians equal for:

  • Pattern types on different fingers
  • Pattern types on different phalanges

Chi-Square Test

Association Between Two Variables

Is there an association between pattern type and:

  • phalange
  • hand
  • finger

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Population Medians – Moods Median Test

Pattern-type vs. Finger

Pattern-type vs. Phalange

p<0.05 = reject null hypothesis

Population medians are not all equal

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Association Between Two Variables - Chi-Square Test

Pattern and Phalange

Pattern and Hand

Pattern and Finger

p<0.05 =

reject null hypothesis

Null hypothesis Ho: The two variables are not associated

Alternative hypothesis H1: The two variables are associated

There is an association between pattern and: phalange, finger and hand

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Discussion & Conclusion

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Operational Uses

Search Heuristics

Training Fingerprint Practitioners

1

2

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Search Heuristics

Finger Nomination

Results can assist examiners to narrow down a search by nominating a finger(s), or hand (left or right) for their searches

Can be used in conjunction with distal phalanges

Search Heuristics

1

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Training Fingerprint Practitioners

'A lack of training and experience can affect an examiner's ability and confidence in determining proper orientation of partial latent prints’ - Ron Smith (2005)

Training Fingerprint Practitioners

2

Knowledge of typical patterns/phalangeal ridge flow can:

  1. Help examiners locate and orient phalangeal impressions from a crime scene

  • Aid in determination of anatomical source (i.e. knowing its from a phalange rather than palm, fingertip or foot)

Forensic examiners now have information relating to features of 3 areas of friction ridge skin

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Limitations & Future Direction

Population design

All fingerprints de-identified - can’t be sure whether we have a representative population in terms of age, ancestry and gender

Different collection methods

2 fingerprint collection methods utilised. Handprints resulted in large number of unclassified phalanges of the thumb

Classification System

Classification system proposed by Ploetz-Radmann (and used in this study) could be refined to make it more user friendly in a forensic science context.

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Conclusion

Ploetz-Radmann’s article has shown that phalange ridge flow can be classified into distinct patterns

There are observable trends in both pattern frequency and distribution and ridge direction

Results of this study can aid in determining finger nomination and orientation

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Acknowledgements

Xanthe Spindler, Scott Chadwick, Anjali Gupta

Andrew Chapman, Michael Whyte, Joshua Thompson, Jennifer Raymond

Thank you to the donors who provided their fingerprints

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�Thank you for your time and attention��Questions?

Email: geor1chl@police.nsw.gov.au