1. Author: Austin Kamrath Wednesday April 12th, 2017
Biometric Sensing
Author: Austin Kamrath
Wednesday April 12th, 2017

2. Key Concepts “Problems with current security systems”
“Possible Solutions”
“Concept of Biometric Sensing”
“Current Biometric technology”
“Future Biometric technology”

3. “Problems with Current Security Systems”
Primarily based on passwords or ID/swipe cards
May be forgotten or lost
Can easily be stolen by thief or hacker
Not very cost efficient in long run

4. Statistics on Passwords
Case Study: Telesis Community Credit Union
Manages $1.2 billion in assets
The vice president lead a team to run a network password cracker
With in 30 seconds they identified 80% of most people passwords
They then told employees to change their passwords and comply with password policies
They were still able to identify 70% of the employees passwords
etrics--getting-back-to-business.html

5. “Possible Solution” Biometric Sensing Better security
Offers convenience
Easy and safe to use
Available for many applications
More affordable than ever

6. “The Concept of Biometric Sensing”
Derived from the Greek words bio, meaning life, and metric, meaning measure.
Identify a persons physical and behavioral characteristics
A transducer that changes the trait into a electronic signal
Traits such as fingerprints, iris, face, voice, etc.
Requires one type of sensor

7. Sensor measures or reads light, temperature , speed, electrical capacity and other energies to obtain these readings
A few applications: HD cameras for facial recognition or a microphone for voice capture
Some even designed to scan vein patterns

8. Types of Biometric Sensors
Physiological Biometrics
Face
Fingerprint
Hand
Iris Scanning
Vein
Behavioral Biometrics
Keystroke
Signature
Voice

9. Face: Capturing data for nodal points and the resulting data can be stored as a face print.
Fingerprint: Records its features like arches, whorls and loops along with the outline of edges, minutiae and furrows.
Hand: Examines palm-print, hand geometry or hand shape, finger-knuckle print, hand veins, etc.
Iris Scanning: Based on single patterns in the region of ring shaped surrounding the pupil.
Vein: Identifies the pattern of blood vessels
Keystroke: Describes exactly when each key was pressed and released as a person is typing.
Signature: Measure the pressure applied, stroke order and the speed.
Voice: Properties – nasal tone, fundamental frequency, inflection, cadence.

10. Fingerprint Semiconductor sensors: prone to ESD
Pros
Cons
Most commonly used
Semiconductor sensors: low cost
Optic sensors: high degree of stability and reliability
Ultrasound sensors: precise and fraud-free
Semiconductor sensors: prone to ESD
Optic sensors: larger in size
Ultrasound sensors: expensive to implement

11. Face Recognition Facial reconstruction surgery
Pros
Cons
No contact needed, just picture or video
Accurate and fast results
Reliable matching
Considered most accurate technology available today
Facial reconstruction surgery
Some businesses may not have video systems

12. Iris Scanning More individual characteristics than a fingerprint
Pros
Cons
More individual characteristics than a fingerprint
Almost 100% accurate
Face scanners are not yet able to be as accurate as they should be
Things such as contacts, tears, longer eyelashes or dark eyes can sometimes throw off the machine

13. Other Information Fingerprint Use a CMOS image sensor or CCD
Solid state sensors work on transducer technology

14. “Current Biometric Technology”
BIO-key
SideSwipe
a swipe fingerprint reader that
operates on any Window device
with a USB port
Microsoft's new Biometric
sign-in feature.
Only scanner devices in the market to pass Microsoft’s security testing qualification process

15. NEXT Biometrics EcoID USB fingerprint reader
Portable and small fingerprint reader
Active thermal sensor from NEXT Biometrics
Compatible with Android and Windows
NEXT Biometrics
On April 26th 2016 they launched the first fully flexible fingerprint sensor for smart cards
NB-2023-S = Fingerprint are sensor module
Its technology is tolerant against dirt, grease and varying environmental conditions.
Large active area allowing intuitive user operation
Application Examples: notebooks, tablets, time and attendance terminals, smart card readers

16. “Future Biometric Technology”
The use of Biometrics in banks
Biometrics in branch banking, internet/mobile banking, ATM’s
Most likely remove the password and PIN system in banking
Visa Europe Report

17. DNA recognition Earlobe Recognition
It captures the unique features from the uncoded portion of the DNA sequence
Finished image in known as the “Digital DNA Fingerprint”
Earlobe Recognition
Measuring the distances between the prominent landmarks of the ear
Two specific techniques are being examined to create the Biometric Template
PCA
3-D Analysis

18. Gait Recognition Study of ways people walk
Known as Kinematics, study of motion
Capture the features of a individuals stride such as angles lengths and speeds
Two techniques
Static shapes
Dynamic shapes

19. Summary Current security systems are not reliable or efficient
Biometric technology is superior
Technology is advancing

20. References
detectors/
des_Biometrics.pdf
disrupt-market-23234/
biometric-systems/
sensor.html

21. Five Questions The different types of Biometric Sensing.
Advantages and disadvantages of a couple types.
Why companies are starting to transition into Biometric technology?
How do these sensors obtain these readings?
What does this technology offer that will prevent people from getting accounts stolen or hacked?