1. Biometrics: Myths and Reality ბიომეტრია : მითები და რეალობა Author: doctoral student Maguli Bedineishvili maguli1004@gmail.com Research director: doctor of technical sciences, professor Levan Imnaishvili limn54@gmail.com GEORGIAN TECHNIAL UNIVERSITY

2. Perception of "Biometrics" Modern Person identification technology, which uses human physiological features Traditional Static processing of biological features Definition of Biometrics

3. Biometric Characteristics Face Fingerprint Hand Iris DNA Keystroke Signature Voice

4. Biometric Barriers to universality Worn ridges; hard or finger impairment None Hand impairment Visual impairment Speech impairment Distinctiveness HighLowMedium HighLow Permanence HighMedium HighLow Collectability MediumHigh Medium Performance HighLowMedium HighLow Acceptability MediumHighMediumLowHigh Potential for circumvention LowHighMediumLowHigh Estimation of Biometric Features

5. Information of Acuity Market Intelligence Revenue of Biometric Industry Actuality million. USD

6. Forecast of technologies development 2012-2017 1.Human body - energy generator; 2.Biometrics in service of information security; 3.Mind reading isn't already fiction; 4.Mobile phone everywhere and in everything; 5.Computer - personal assistant. Actuality

7. Segment of Market

8. Finger papillary lines:  Depicted on the ancient construction by accident...  Decorative, mystical elements...  Person confirmation facility:  China - 300 year B. C.  Japan - 702 year A.D.  Europe - XVII-XIX century  USA - 1902 year A.D. IrelandAncient China History of Biometrics

9. 1880 year Henry Faulds: for person identification was offered using fingerprint 1858 year Herschel's fingerprints, which was made within 57 years. William Herschel: used handprint for formatting agreement History of Biometrics

10. 1882 year Alphonse Bertillon processed the technique for measuring the parameters of prisoners' bodies (Bertillonage) Francis Galton created the first system of classification fingerprint History of Biometrics

11. Biometric control of physical access Biometric control of logical access Justice and law enforcement scope Accounting of working time Medical scope Border control Financial and transactional biometrics Mobile devices Biometric locks Consumer biometrics Learning institutions Other using scopes of biometrics - convenience Using Scopes

13. Fingerprint Types

14. Image Processing Algorithm

15. Fingerprints characteristics

16. FingerprintFingerprint pattern Fingerprint “map” The Functioning Principle of Biometric System

17. Matcher (Threshold) Template Database Yes/No Feature Extractor Preprocessor Preprocessor Enrollment Authentication Biometric System Implementation

18. Identification Procedure

19. Verification Procedure

20. FRR – False Rejection Rate The system makes decision to reject a person, in spite of that, he is already registered in the database. FAR – False Acceptance Rate The system makes decision to accept a person, even if he isn't registered in the database. Errors of Recognition Stage

21. FAR FRR EER Relation of First and Second Category Errors FRR

22. Implemented in Georgian Technical University Teachers Biometric Registration System

23. Biometric Eectoral System Implemented in Georgian Technical University

24. Biometric accounting system of students attendance in lectures Developed in Georgian Technical University

25. Biometric System of Students’ Admission in Examinations Developed in Georgian Technical University

26. Biometrics: Myths and Reality ბიომეტრია : მითები და რეალობა გმადლობთ ყურადღებისთვის ! Thank You for Your Attention! GEORGIAN TECHNIAL UNIVERSITY