1. Fingerprint Cards AB (FPC)
Sep 2011
Alexander Blomquist

2. Biometric technologies - overview
Fingerprints - Iris recognition - Vein patterns or
Hand Geometry
Face recognition
Voice recognition
Signature …

3. Various technologies - Product implementations
Fingerprint scanner
Hand geometry
Face recognition
Iris scanner
Vein scanner

4. Biometrics - strong growth segment
Biometrics are automated methods of identifying or authenticating the identity of a person based on fingerprint, hand, iris, face, signature, voice or behavior

5. Market segments
Standardised applications for government and border control (AFIS, NIST standard etc.)
Other government and public applications
Commercial applications
Low cost / high volym (laptops, mobil phones etc)
High performance, high profile, quality important

6. Purpose of biometrics - Security - replacing PIN codes/passwords
- Convenience - easy access
- Personalization - personal settings
- Track record – who did what/when/where

7. Company Mission FPC company mission:
To be a leading provider of fingerprint
verification components and systems

8. Products Biometric Processors FPC2020 ASIC
Fingerprint sensors FPC1011F (Area) FPC1080A (Swipe) *released Q4 2011*
Biometric Processors FPC2020 ASIC
Stand-alone Modules FPC-AM3 (area sensor based)
Algorithms Distinct Area Detection (DAD) Verification, Identification and Enrolment
Fingerprint sensor
Algorithms
Processor for fingerprint image handling
Biometric modules

9. Company milestones 1997 First sensor ready
1999 Processor ASIC ready Embedded system for an Ericsson mobile phone
2001 Biometric System-on-Card application ready Biometric Match-on-Card application to the Swedish defense
2002 Swipe sensor system ready Distributors are added to the company structure
2003 Co-operation with Texas Instruments and Motorola 3rd generation sensors ready Swipe sensor patent approved
2005 Biometric stand alone modules released
2007 Third generation processor ASIC ready
Biggest supplier for Chinese bank sector
2008 New sensor solution launched
2009 New sensor platform

10. Business model FPC support all business relationships below
FPC or distributor delivers components or modules
FPC signs license agreements with customer
Component delivery or
Licensed production by customer
FPC deliver customized solutions
FPC have exclusive arrangements

11. Patents Sensor patent, architecture Sensor patent, pixel element
The sensor architecture covers the method of real time programming of sensor matrix function.
Sensor patent, pixel element
The design of the sensor pixel element and associated conversion principle results in an extremely sensitive sensor amplifier with low internal noise generation.
Algorithm patent
Mathematical descriptions by which millions of operations can be carried out in a split second.
Swipe sensor methodology patent
Method to store individual’s biometric identity without building up the complete image of the fingerprint.
Packaging patent
Coating for protection of sensor surface and bond wires

12. Sensor technologies Types of fingerprint sensors: Optical Thermal
Capacitive RF
Pressure sensitive …

13. FPC’s sensor technology
Others
FPC
FPC’s sensors contain small capacitive plates, each with their own electrical circuit embedded in the chip. The sensor use FPC’s own method HSPA (High Sensitive Pixel Amplifier) which allows each pixel element in the sensor to detect very weak signal, which improves image quality for all types of fingers.
Extremely weak electrical charges, sent via the finger, are created, building a pattern between the finger's ridges or valleys and the sensor's plates. Using these charges the sensor measures the capacitance pattern across the surface.
FPC’s HSPA-method also allows a patented protective coating that helps FPC’s sensors to withstand well above European Community Standard Class 4 requirement of 15kV for static electricity (ESD) as well as wear and tear.

14. Algorithm
FPC’s patented Distinct Area Detection (DAD) algorithm is a feature based algorithm, looking for something that is unique in its surroundings. It locates distinct areas in the three-dimensional fingerprint image derived from the sensor

15. Definition – Verification vs Identification
Verification (1:1): User: “I am Alexander” System: “Yes you are” or “No, you are not”
Identification (1:n) or (1:many): User: “Here I am” System: “You are Alexander” or
“I do not know you”

16. Terminology Algorithm Performance Security
FAR: False Acceptance Rate 1/ > 1/
(FMR: False Match Rate)
Convenience
FRR: False Rejection Rate 1-2 %
(FMNR: False Non Match Rate)
Remove bad fingerprints
FTE: Failure To Enrol 0,5-1%

17. Algorithm – DAD vs. Minutia
FPC’s patented Distinct Area Detection (DAD) algorithm is a feature based algorithm, looking for something that is unique in its surroundings. It locates distinct areas in and takes full advantages of the three-dimensional (3D) full grayscale fingerprint image derived from the sensor, compared to a simple two-dimensional black and white image
Ridge
Valley
Real fingerprint
Pixels
Sensor
2D, minutia based algorithm
3D, FPC’s DAD based algorithm

18. Find Distinct areas – unique in its surrounding
DAD Algorithm
Find Distinct areas – unique in its surrounding
DISTINCT AREA

19. DAD Algorithm
GEOMETRIC RELATIONS
DISTINCT AREA
(x,y)

20. DAD Algorithm
TEMPLATE

21. Algorithm – DAD vs. Minutia
The FPC’s DAD-algorithm use Fingerprint-to-template matching, which requires both the fingerprint and the templates to get a match. Both of them makes up the ”key”. In a minutia based algorithms template-to-template matching is used, which means that you only need two templates to get a match. Here the templates alone makes up the ”key”; not the fingerprint.
Minutia based Algorithm
FPC’s DAD Algorithm
Enrol
Verify
Enrol
Verify
Match
Match
Template
Template
Template

22. Fingerprint sensor FPC1011F Fingerprint area sensor
Hard and scratch resistant protective surface coating
Superior image quality
3D image with 256 true gray scale values (8 bit)
363 dpi
Flex connector or BGA
High speed SPI interface
3.3 and 2.5 volt operation
>15kV ESD protection
> wear cycles
RoHS compliant
Ergonomic frame for optimized finger guidance

23. Environmental tests
ESD: Multiple > 15KV, level 4 IEC standard
Wear: > uses in test
Mechanical resistance, pen drop: > 20 cm direct hit
Temperature cycling (operational): -40° C - +85° C
Humidity tests (operational): C / 85% humidity
Substances resistance: Aceton, Artificial sweat, Coca Cola, Isopropyl, Ethanol, Ketchup, Mosquito repellent, Oil, Petrol, Soap

24. Biometric Processor Processor FPC2020 Sensor interface for FPC1011F
Customized ASIC processor with algorithm hardware support
Highest algorithm performance
2 host interfaces available: serial UART and SPI
12-96 MHz clock
Identification up to ~500 templates, takes ~1 second
FLASH memory directly connected to processor
Power supply: 2.5 to 3.3 V
Active mode:
Sleep mode: 30µA
host
flash
FPC2020

25. Biometric Module Module FPC-AM3 Based on FPC’s components
area sensor FPC1011F
processor ASIC FPC2020
Extremely easy to integrate, minimizing time-to-market
Serial UART interface
Verification and identification mode
Upload and download of templates
Onboard template storage
1 000 templates
Low power consumption
Active: 96 MHz, MHz
Sleep: 30 μA

26. Test and development kit
Development kit FPC-AMD3
Familiarize yourself in a PC environment
Windows application FPC Serial Com
Reference source code
Reference schematics
Housing design
Application support

27. Test and development kit
Development kit FPC-ASD
Area Sensor Development kit
Development kit for FPC1011F, sensor customers
Connect to a PC for easy evaluation/demonstration
Extremely easy to integrate, minimizing time-to-market
USB interface
Algorithm available as LIB file (verification and identification)
Includes ergonomic sensor housing
Reference schematics, source code and CAD for housing design

28. Competetive advantages
Sensor technology
High image quality
High durability with regards to ESD and wear and tear
System performance
FTE, FRR and FAR
Algorithm for low power/low cost processors
System knowledge
Low Power consumption
Sensor level
System level
Area/Swipe sensor system
Complete optimised system (sensor/asic/algorithm or module)
Combination with other algorithms and/or processors
Image quality
FPC1011F Other sensor
ESD protection

29. Customer products Customer products: IT login units
Bank security units
Door locks
Military security
I/C cards
PDA’s
Card readers
Padlocks
Safes
Access control systems
Time & Attendance terminals
Tokens
Point of sale terminals
Medical equipments
Lockers
Vehicle security systems
Portable memory sticks
Suitcases
Transportation of valuables
Etc

30. Real Life Cases Physical Access Door lock for home/office use.
Door lock, battery powered
Door lock for home/office use, battery powered

31. Real Life Cases Safe box Fingerprint secured guns safe
Safe for valuables

32. Real Life Cases PC Peripherals USB Token
Bank security
USB Token, memory stick, Windows logon

33. Real Life Cases Wireless/handheld devices Portable student identifier
Transportation of valueables

34. Real Life Cases POS (Point-of-Sales) POS unit used in restaurants
Cryptographic keyboard

35. Real Life Cases Other projects Match-On-Card
High security access device used
by Swedish Defence
System-On-Card

36. Automotive
Toll payment
Car security

37. Other projects
Medical Systems
Suitcase lock

38. On your market FPC has local representation or distributors today in:
Argentina
Austria
Canada
China
Germany
Hong Kong
India
Indonesia
Japan
Malaysia
Paraguay
Singapore
South Korea
Sweden
Switzerland
Taiwan UK
Uruguay
USA

39. Resources

40. Company presentation
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