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World Class Standards
Finger Vein AuthenticationSony Finger Vein Verification Technology
for Mobile Apparatus
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009
Hideo Sato
Hideo.Sato@jp.sony.comSony Corporation
© ETSI 2007. All rights reserved4th ETSI Security Workshop
for Mobile Apparatus
World Class Standards
Biometrics for Mobile Apparatus� Forge resistance
� Fake Physical Biometric ~ Iris / Fingerprint /Face� Latent fingerprint
� High accuracy / Low FTR (Failure To enrol Rate)� False Acceptance Rate (FAR) ~ Brute-force attack� False Rejection Rate (FRR)� False Rejection Rate (FRR)� Inability to enroll some users ( Fingerprint : FTR = 3~4%)
� Environmentally free� Affected by skin condition (Dry or Wet)
� Limited Resource Environments � CPU / Memory size ⇔⇔⇔⇔ Performance
� Biometric Sensor� Small size� Low cost
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 2
World Class Standards
Forge resistance
� Fake Physical Biometric� Impact of Artificial "Gummy" Fingers*� Direct attacks using fake images in iris verification** ~ infrared camera
� Japanese banks have adopted a vein based system for verifying cardholders at the ATM.
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 3
Latent fingerprintOK!!
Gummy FingerGelatin LiquidEnhanceFake Physical Biometric
Smart Card
*** Report of Economic and Financial Developments (JAPAN)(Institute for Monetary and Economic Studies, Bank of Japan)
World Class Standards
Finger vein / Finger Print
� Finger Vein Authentication is extremely hard to forge.� Failure to Enroll Rate(FTE) ≒≒≒≒0% (Finger Print 3~4%)� High accuracy� Environmentally free
Fingerprint Image Finger minutiae
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 4
Finger print
VEIN
OUTSIDE
INSIDEVascular Image Template
Fingerprint Image Finger minutiae
World Class Standards
Vein Authentication for ATM / Mobile� Banking on vein at the ATM
� It is the de facto standard for biometrics ATM cards in Japan.• Hitachi 81% Fujitsu 7% (2008)
� Weak point of conventional Vein Authentication systems� Size of device >> Cellar Phone� Authentication speed < Finger print Hitachi Finger vein� Authentication speed < Finger print� Guide to fix hand or finger� High cost
� Sony Finger Vein Authentication systemThe target is Mobile Apparatus.� Size of device << 1ml� Authentication speed >> Finger print� No guide to fix finger� Low cost
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 5
Hitachi Finger vein
Fujitsu Hand vein
World Class Standards
Comparison Chart
Diffused LightReflection
CMOS Imager
Transparent/ReflectionCCD Imager
Pressure Sensor、、、、Line Sensor etc.
Sensor
Device
Sony F. Vein
Vein
FingerPrint
Modality FAR
◎◎◎◎
◎◎◎◎
○○○○
FRR
○○○○(No Guide)
△△△△(Guide)
△△△△
TemplateData Size
◎◎◎◎
▲▲▲▲
◎◎◎◎
ResponseSpeed
▲▲▲▲
◎◎◎◎
▲▲▲▲
SensorSize
◎◎◎◎
◎◎◎◎
▲▲▲▲
Anti-Sun
○○○○
N/A
?
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 66
MIC
Line Sensor etc.
Image Sensor
Image Sensor
Image Sensor
Mouse, Tablet,Pressure Sensor
Iris
FaceImage
HandShape
Voice
Sig-nature
◎◎◎◎
××××
▲▲▲▲
××××
××××
××××
××××
○○○○
××××
××××
××××
××××
◎◎◎◎
××××
××××
▲▲▲▲
▲▲▲▲
----
----
----
▲▲▲▲
▲▲▲▲
△△△△
△△△△
××××
××××
××××
N/A
N/A
×××× or N/A
World Class Standards
� Biometric sensor� Open Type Capability � Small sensor << 1ml� Low-cost CMOS device ( Hitachi , Fujitsu = CCD)
Sony Finger vein Technology (1)
Infra-red LED Image : Prototype Phone
CCDCCDCCDCCDSensorSensorSensorSensor
InfraInfraInfraInfra----Red Red Red Red LEDLEDLEDLED
HitachiTransparent Type
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 7
Infra-red LED Unit
Flap Type Phone
Sensor Module
Image : Prototype Phone
Finger Position DiffusionDiffusionDiffusionDiffusion
LightLightLightLight
InfraInfraInfraInfra----Red Red Red Red LEDLEDLEDLED
CMOS CMOS CMOS CMOS SensorSensorSensorSensor
Vein
Finger
Transparent Type
SonyOpen Type
World Class Standards
Sony Finger vein Technology (2)
� Feature Extraction Algorithm for Vein Blood Flow� Detecting from Low Contrast Image/Noise Removal
• Possible to use the general CMOS Image sensor
� Detecting the Center Line of the Vein • Robust for the variation of the climate and the health condition
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 8
Vein Image
Feature Extraction
Skelton Pattern
CMOSSensor
World Class Standards
Sony Finger vein Technology (3)
� New compact-fast-matching algorithm� Quick Response :::: 250ms ( Mobile Phone @ARM9 150MHz )� High Accuracy :::: FAR 0.0001% FRR 0.1%� No Guide to set the finger position
No Finger
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 9
.Finger Aligned axis Rotation
Rotation/ZoomingRejection
X-Y MovingRejection
CMOS Sensor
Vein PatternMatching
Feature SpaceMatching
Finger
2D CombinationalMatching / Decision
Mapping to FeatureSpace
Templates
No FingerGuides
World Class Standards
Sony Finger vein Technology (4)
� Vein Pattern Data Compression with keeping the accuracy� Transform from Vein Pattern to Geometric Information� Compression as Geometric Information Base
with Accuracy Compensation to 112Byte• Suit for Smart card storing• Quick Response
LSI
Template size112Byte/Pattern
Smart card• Quick Response
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 10
ExtensionTransformation
Vein Pattern
Compression
GeometricInformation
CompressedInformation
ExtendedVein Pattern
Smart card
World Class Standards
� These technologies enable the use of finger vein authentication for mobile devices and smart cards, etc.
Conclusion : Sony Finger vein Authentication
2. Quick Response
1. High Accuracy - Better than Fingerprint based
- Less than 250ms (@ Mobile Phone)Reducing Retry Times
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 114th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009
5. Small Data Template
4. Using Environment
3. Small Size
2. Quick Response Reducing Retry Times- No Guide to set the finger position
- Smaller than 1ml.
- Possible to verify under the Sun Light
- Suitable Size for storing into Smart card :Less than 128byte
World Class Standards
ISO-standard and others
� ISO/IEC� Biometric data interchange formats -- Part 9: Vascular image data
(ISO/IEC 19794-9)� Conformance testing methodology for biometric data interchange
formats -- Part 9: Vascular image data(ISO/IEC 29109-9)
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 12
(ISO/IEC 29109-9)
� JIS(JP)� Evaluation Method for Accuracy of Vein Authentication Systems
(JIS-TR X0079)
World Class Standards
Thank you for your attention
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009
4th ETSI Security Workshop
World Class Standards
References� Impact of Artificial "Gummy" Fingers on Fingerprint Systems
Tsutomu Matsumoto , Hiroyuki Matsumoto , Koji Yamada , Satoshi Hoshino� http://www.lfca.net/Fingerprint-System-Security-Issues.pdf
� Direct attacks using fake images in iris verification ( BIOID 2008 )Virginia Ruiz-Albacete, Pedro Tome-Gonzalez, Fernando Alonso-Fernandez,Javier Galbally, Julian Fierrez, and Javier Ortega-Garcia� http://cost2101.org/BIOID2008/papers/19_BIOID_paper25.pdf� http://cost2101.org/BIOID2008/papers/19_BIOID_paper25.pdf
� A Case Study for User Identification ( ITU-T Workshop )Tsutomu Matsumoto� http://web.mit.edu/6.857/OldStuff/Fall03/ref/gummy-slides.pdf
� UK Identity Cards and Social Exclusion ( Privacy International )� http://www.privacyinternational.org/article.shtml?cmd%5B347%5D=x-347-228833
• 30/05/2005
4th ETSI Security Workshop - Sophia-Antipolis, 13-14 January 2009 14
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