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Hand Biometrics

Hand Biometrics Measurement and biometric technologies for identification and security applications. Objectives. 2. Hand Biometrics. Learn about biometrics technology Learn about engineering product planning and design Learn about meeting the needs of society

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Hand Biometrics

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  1. Hand Biometrics Measurement and biometric technologies for identification and security applications

  2. Objectives 2 Hand Biometrics Learn about biometrics technology Learn about engineering product planning and design Learn about meeting the needs of society Learn about teamwork and working in groups

  3. What is a biometric? 3 Hand Biometrics • Measurement of a physical characteristic • Examples include: • Fingerprints • DNA • Retinal pattern • Hand dimensions

  4. Properties of a biometric 4 Hand Biometrics Universality – each person should have the characteristic. Uniqueness – how well a biometric separates individuals from others. Permanence – how well a biometric resists aging, variance over time. Collectability – ease of acquisition, measurement. Performance – accuracy, speed, and robustness of technology used. Acceptability – degree of approval of a technology. Circumvention – ease of use of a substitute.

  5. Why use a biometric? 5 Hand Biometrics • Biometrics are used to match an unknown sample to a database of known samples • Criminal investigations • Biometrics are used to authenticate identities • Fingerprint computer login

  6. Your Turn 6 Hand Biometrics • Create a database of 4 known samples from measurements of your hands • Develop a rule or algorithm by which you can: • …accept an unknown sample and match it to an entry in your database; or • …reject the unknown sample as not appearing in the database at all

  7. Procedure – Part 1 7 Hand Biometrics Database Sample A___ B___ C___ D___ Testing Sample A___ B___ C___ D___ • Work in groups of 4 • Each person gets their hand measured 2 times • You measure your own right hand • Another teammate measuresyour right hand • 1 “Testing” sample, 1 “Database” sample • DO NOT SWAP FORMS!

  8. 8 Hand Biometrics Measurement A:Distance from index fingertip to bottom knuckle Measuring a hand

  9. 9 Hand Biometrics Measurement B: Width of ring finger, measured across the top knuckle Measuring a hand

  10. 10 Hand Biometrics Measurement C: Width of palm across 4 bottom knuckles Measuring a hand

  11. 11 Hand Biometrics Measurement D: Width of palm from middle knuckle of thumb across hand Measuring a hand

  12. 12 Measurement B: Width of ring finger, measured across the top knuckle Measurement A:Distance from index fingertip to bottom knuckle B A C Measurement D: Width of palm from middle knuckle of thumb across hand Measurement C: Width of palm across 4 bottom knuckles D

  13. Procedure – Part 2 13 Hand Biometrics Database Sample A___ B___ C___ D___ Database Sample A___ B___ C___ D___ Database Sample A___ B___ C___ D___ Database Sample A___ B___ C___ D___ Set aside all 4 white “Testing” forms Looking at just the 4 pink Database samples, develop a mathematical and/or logical rule that can be used to match an unknown sample to an entry in the “Database”

  14. Example Rule 14 Hand Biometrics Database Sample A___ B___ C___ D___ Compute Sn for each entry in “Database” Compute S for unknown test sample Choose Database sample with least error < 0.5 cm, Else state “No Match” S1 = 22.1cm Testing Sample A___ B___ C___ D___ Database Sample A___ B___ C___ D___ S2 = 25.3cm Database Sample A___ B___ C___ D___ S3 = 20.5cm S = 24.7cm Database Sample A___ B___ C___ D___ S4 = 24.9cm Error = 0.2cm MATCH Let Sn=An+Bn+Cn+Dn

  15. Procedure – Part 3 15 Hand Biometrics Combine “Testing” samples for entire table (8 samples) Mix and shuffle “Testing” samples Each group picks 2 random Testing samples For each sample, use your RULE to determine if there is a match in your “Database” and, if yes, which entry matches

  16. Procedure – Part 3 16 Hand Biometrics Fill in worksheet

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