PALM VEIN TECHNOLOGY

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PALM VEIN TECHNOLOGY

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PALM VEIN TECHNOLOGY

UNDER THE GUIDANCE OF:

PRAKASH K SHETTY

ASSOCIATE PROFESSOR,

P.A. COLLEGE OF ENGINEERING, MANGALORE.

SUBMITTED BY: GIREESHA H N 4PA07EC036

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CONTENTS

• Introduction• Our current security

measures• Overview of Bio-Tech• How it works• Data flow

• Accuracy• Practical applications• Advantages• Disadvantages• Conclusion• References

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INTRODUCTION

• Palm vein technology is one of the upcoming technology.

• It is the world’s first contactless personal identification system that uses the vein patterns in human palms to confirm a person’s identity.

• It is highly secure and accurate.• The contact less feature gives it a hygienic advantage

over other biometric authentication technologies.• It uses the vascular patterns of an individual’s palm as

personal identification data.

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Our Current Security Measures

• Internal– Building Access –

Magnetic Card and Pin

– Computer Access – User ID and Password

• External– Customer Access

– ATM card and PIN

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HOW IT WORKS

•Takes snapshot of palm veins•Converts into algorithm (ICP)•Compares with database

source

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PALM VEIN PAATTERN VERIFICATION SYSTEM

The thermal vein pattern verification system involves the following stages: • Image Acquisition • Image enhancement • Vein pattern segmentation • Skeletonization • Matching

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User Interface

•Contactless•Non-invasive•2.18 seconds recognition speed

source

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• Available Software Development Kit– Easy to integrate to current company

system• Small• Cheap to produce• Easy to Install• Wide range of operating condition– Iris scanners are sensitive to light and

temp.

source

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Data Flow

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AccuracyTECHNOLOGY FALSE ACCEPTANCE

RATEFALSE REJECTION

RATE

PalmSecure .00008% .01%

Fingerprint 1-2% 3%

Iris .0001% - .94% .99% - .2%

Voice 2% 10%

• Vein patterns – Distinctive and unique to individuals, even left and right hands.– Difficult to steal or forge

• False acceptance rate– A rate at which someone other than the actual person is falsely recognized.

• False rejection rate– A rate at which the actual person is not recognized accurately.

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In comparison with others technology*note – Chart created using average of data provided by the Table

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Security EvaluationThere are several common methods of attacking the system • Spoofing attacks• Replay and transmission attacks

Known methods of improving security of biometric systema. Multimodal biometric systemb. Biometrics combined with passwordc. Watermarking

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Points of attacks in a biometric system

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Practical Applications

Portable Mouse

ATM Machine

• ‘Palm Secure’ is now widely used in various fields. – ATM

• 92% of all Japanese ATMs• 18,000+ ATM machines for

Bank of Tokyo - Mitsubishi– School ID, Entry Key to

private property, Log-in to PCs or servers

– Potential is limitless

• PalmSecure mouse with a build-in sensor in 2007– easily installed to personal

computer.

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• Hidden characteristics are used as biometric features. • It is difficult to forge for intruders. • It is not affected by dryness or roughness of skin or by

physical injury on surface of the hand. • It has an FRR of 0.01% and FAR of less than 0.00008%.

This is based on experiments conducted on 70,000 individuals in Japan.

• This technology is non-intrusive.

ADVANTAGES

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• There are numerous factors that can affect the

quality of the captured image such as body temperature, humidity, heat radiation, nearness of vein to surface, camera calibration and focus.

• It is still relatively expensive and not available for mass production yet.

DISADVANTAGES

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CONCLUSION Palm vein pattern recognition is a convenient and easy to use biometric technology with high security and accuracy level. The technology is gaining momentum but it is still expensive and relatively untested because it has not yet been marketed globally.

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REFERENCES

• http://news.nationalgeographic.com/news/2006/09/060922-fingerprints.html • http://www.findbiometrics.com/article/320

• Palm vein authentication technology and its applications By Masaki Watanabe, Toshio Endoh, Morito Shiohara, and Shigeru Sasaki

• VEIN PATTERN RECOGNITION BIOMETRIC SYSTEMS By Sanya-Isijola, Ademuyiwa

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QUESTIONS???

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End of the Presentation

Thank You.