1. Biometrics Sensors
Submitted by:- Sukhdeep Singh Sidhu
Roll No. :- 115363
Branch:- CSE N2

2.  Authentication – the process of verifying that a
user requesting a network resource is who he,
she, or it claims to be, and vice versa.
 Conventional authentication methods
› „something that you have“ – key, magnetic card or
smartcard
› „something that you know“ – PIN or password
 Biometric authentication uses personal features
› „something that you are“

3. Contents
 Application domains for biometric products
 Biometric products
 Fingerprint recognition
 Face recognition
 Iris recognition
 Retinal recognition
 Hand geometry measurement
 Dynamic signature verification
 How good are biometric products today?
 Conclusions

4.  Access control
› to devices
 cellular phones
 logging into a computer, laptop, or PDA
 cars
 guns
› to local services
 debitting money from a cash dispenser
 logging in to computer
 accessing data on smartcard
› to remote services
 e-commerce
 e-business

5.  Physical access control
› to high security areas
› to public buildings or areas
 Time & attendance control
 Identification
› forensic person investigation
› social services applications, e.g. immigration or
prevention of welfare fraud
› personal documents, e.g. electronic drivers
license or ID card

6.  Sensors
› optical sensors
› ultrasound sensors
› chip-based sensors
› thermal sensors
 Integrated products
› for identification – AFIS systems
› for verification

7. Electro-optical sensor
[DELSY® CMOS sensor modul]
Optical fingerprint sensor
[Fingerprint Identification Unit
FIU-001/500 by Sony]
Capacitive sensor
[FingerTIP™ by Infineon]

8. Thermal sensor
[FingerChip™ by ATMEL
(was: Thomson CSF)]
E-Field Sensor
[FingerLoc™ by Authentec]

9. [BioMouse™ Plus by American Biometric Company]
Physical Access Control System
[BioGate Tower by Bergdata] [ID Mouse by Siemens]

10. Keyboard [G 81-12000
by Cherry]
System including
[TravelMate 740 by Compaq und Acer] fingerprint sensor,
smartcard reader and
display by DELSY

11. Face recognition system
[TrueFace Engine by Miros]
Face recognition system
[O n e -t o -O n e ™ b y B io m e t r ic Ac c e s s C o r p o r a t io n ]

12. S y s t e m f o r p a s s iv e ir is r e c o g n it io n b y S e n s a r
S y s t e m f o r a c t iv e ir is
r e c o g n it io n b y Ir is S c a n

13. Retinal recognition system [Icam 2001 by Eyedentify]

14. Hand geometry reader by Recognition Systems
Hand geometry reader for
two finger recognition by BioMet Partners

15. Electronic pen [LCI-SmartPen]

16. Digitising tablet by Digitising tablet [Hesy Signature Pad
Wacom Technologies by BS Biometric Systems GmbH]

17.  Combination of biometric technologies
› Fingerprint and face recognition
› Face recognition and lip movement
› Fingerprint recognition and dynamic signature
verification
 increase the level of security achieved by
the system
 enlarge the user base

18.  depends on the application
 reliability
 security
 performance
 cost
 user acceptance
 life detection
 users that are unsuitable
 size of sensor

19.  How can we find out, how good a biometric
product is?
› Empirical tests of the product
 In the past year, there were two
independent test series of biometric products
› in Japan
› in Germany

20. 1. Regular biometric sensor
using artificially generated
biometric data
3. Replay attack of
eavesdropped biometric
data
5. Manipulation of stored
biometric reference data

21.  Tsutomu Matsumoto, a Japanese
cryptographer working at Yokohama
National University
 11 state-of-the-art fingerprint sensors
 2 different processes to make gummy fingers
› from live finger
› from latent fingerprint
 Gummy fingers fooled fingerprint sensors 80%
of the time

22.  Computer magazine c’t
 11 biometric sensors
› 9 fingerprint sensors,
› 1 face recognition system, and
› 1 iris scanner
 Fingerprint sensors –
› reactivate latent fingerprints (optical and capacitive
sensors)
› apply latex finger (thermal sensor)
 Face recognition system –
› down- (up-) load biometric reference data from (to) hard
disk
› no or only weak life detection

23.  Iris recognition –
› picture of iris of enrolled person with cut-out
pupil, where a real pupil is displayed
 All tested biometric systems could be fooled,
but the effort differed considerably

24.  Biometric technology has great potential
 There are many biometric products around,
regarding the different biometric technologies
 Shortcomings of biometric systems due to
› manufacturers ignorance of security concerns
› lack of quality control
› standardisation problems
 Biometric technology is very promising
 Manufacturers have to take security concerns
serious