M.Kumarasamy college of engineering.

TOPIC:Biometric

Done by,•B.Nishkal kanna•B.Ajith chandran•G.Naresh•M.Janani •M.Geetha priya

Guided by,S.Keerthi(AP of CSE)

• The automated use behavioral and physiological characteristics to determine or verify an identity.

Biometrics Avoids…

Passwords complexness like,Too many Can be stolenForgotten

Protect Information for,BankingMedical

Biometrics types

Know Password, PIN

Have Key, Smart Card

show Fingerprint, Face, Iris

• Biometrics is a security solution based on something you know, have, and show:

Facts!!!

• Has been used since 14th century in China• efficient and trusted

• Will never leave at home

• Fingerprints are unique• Everyone is born with one

• 80% of public has biometric recorded

Types of Biometrics

Fingerprint recognition:

Finger recognition device:

Fingerprint Patterns to recognise you

6 classes of patterns

Fingerprint Patterns

• Minutiae

Fact….

• Finger print was recognized by binary digits o’s & 1’s.

Fingerprint Patterns

• Two main technologies to capture image of the fingerprint

• Optical – use light refracted through a prism• Capacitive-based – detect voltage changes in

skin.

Advanced Minutiae

• Feature Extractor• Capture Image• Enhance Ridge• Extract Minutiae

Advanced Minutiae-2

• Matcher• Used to match fingerprint• Trade-off between speed and performance• Group minutiae and categorize by type

Identification vs. AuthenticationIdentification •Who are you?

• comparison• Slower• Scan all memory in database

Authentication •Are you John Smith?

• 1 : 1 comparison• Faster• Scan one template

Security• Several sensors to detect fake

fingerprints

• Cannot steal from previous• user• Cannot use cut off finger

• Temperature• Pulse• Heartbeat sensors• Blood flow

Iriscode protection

IrisCode device:

IrisCode

OVERVIEW OF IrisCode SYSTEM

Concerns / Possible improvements

High cost of implementation•Person has to be “physically” present.•Capture images independent of surroundings and environment / Techniques for dark eyes.•Non-ideal iris images

Inconsistent Iris size

Pupil Dilation

Eye Rotation

SEGMENTATION

• Detecting the pupil edges• Detecting the iris edges• Extracting the iris region

Canny Edge Detection Algorithm

Advantages

• Uniqueness of iris patterns hence improved accuracy.

• Highly protected, internal organ of the eye• Stability : Standardness of iris patterns.• Non-invasive : Relatively easy to be acquired.• Speed : Smaller template size so large databases

can be easily stored and checked.• Cannot be easily forged or modified.

Face recognition:

FaceRecognition device:

Face Recognition

• Face is the most common biometric used by humans• Applications• Static• mug-shot verification• Challenges:

• automatically locate the face • illumination conditions• facial expressions• aging effects

Face Recognition Difficulties….

• Identify similar facesintra-class variability due to:

• head pose• illumination conditions• expressions• facial accessories• aging effects

Inter-class Similarity

• Different persons may have very• similar appearance

Twins Father and son

Intra-class Variability

• variations in pose, expression,color and brightness

Face Detection Algorithm

Face Localization

Lighting Compensation

Skin Color Detection

Variance-based Segmentation

Connected Component &Grouping

Face Boundary Detection

Verifying/ WeightingEyes-Mouth Triangles

Eye/ Mouth Detection

Facial Feature Detection

Input Image

Output Image

Voice recognition:

Definition• Speech recognition: converting an acoustic signal, captured

by a microphone or a telephone, to a set of words.

Speech Processing

• Signal processing:• Convert the audio wave into a

sequence of feature vectors

• Speech recognition:• Decode the sequence of feature

vectors into a sequence of words

• Semantic interpretation:• Determine the meaning of the

recognized words

Dialog Management

• Goal: determine what to accomplish in response to user• Answer user question• Gives further information• Confirm/Clarify to user• Notify invalid query

• Interface between user/language processing components.

Speech Recognition and Call Centres

• Automate services, lower payroll

• Shorten time on hold• Shorten agent and client call

time• Reduce fraud• Improve customer service

Interesting fact…!!!

• Voice recognition generally works on the principle of binary tree

Conclusion

• BIOMETRIC-Want to protect information

• IRISCODE-scans orbitally over the iris

• FINGERPRINTS-Fingerprints are unique; can verify

• FACE-identify using shapes

• VOICE-identify using frequency range

Thank you

Queries time…?.?.?.?.?