Face recognitionAuthor: ASIF GUL

Institute: QUAID-E-AWAM UNIVERSITY OF SCIENCE & TECHNOLOGY, NAWABSHAH, SINDH, PAKISTAN

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OutlineBiometric & its types Facial recognition. Implementation.Process of working.Strengths & weaknesses.Applications.References.

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BiometricThe measuring and analysis of such physical attributes as facial features , voice or retinal scans.This technology is can be used to define an individual’s unique identity.

Types of BiometricsBehavioral Biometrics

Voice scanSignature scanKeystroke scan

Physiological BiometricsFinger-scanFacial recognitionHand-scanRetina-scan

Face recognition

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Face recognition(facial recognition) is a type of biometric system application that can identify specific individual in digital image by analyzing and comparing patterns.

Face recognition

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Types of comparison Verification: In verification the system compares the input

digital image with the particular which the user says he/she is. Identification:

In this type of comparison the system compares the taken digital image with the whole records in database.

Face recognition

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Implementation of the face recognition technology includes the following four stages.

Image acquisitionImage processingDistinctive characteristics locationTemplate creationTemplate matching

How Face recognition works

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There are some variances that make up the different facial features

Visionics defines these landmarks as nodal points. There are 80 nodal points on human face.

Few are given belowDistance between the eyesWidth of the noseCheekbonesJaw line Chin

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Face recognition algorithm working

Face Localization

Lighting Compensation

Skin Color Detection

Color Space Transformation

Variance-based Segmentation

Connected Component &Grouping

Face Boundary Detection

Verifying/ WeightingEyes-Mouth Triangles

Eye/ Mouth Detection

Facial Feature Detection

Input Image

Output Image

Strengths and weakness.

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Strengths: it can search against static such as driver’s license

photograph. It is the only biometric that is able to operate without

cooperation .

Weakness:Changes in acquisition environment reduce matching

accuracy.Changes in physiological characteristics reduce matching

accuracy It has the potential for privacy abuse due to non-

cooperative enrollment and identification capabilities.

Applications of face recognition

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Security: access control, comparing surveillance images to know terrorist.

Day care: verifying the identity of individuals picking up the children

Residential security: alert the homeowners of approaching personal.

Banking using ATM: the software is able to quickly verify the customer’s face.

Voter verification:

References

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https://en.wikipedia.org/wiki/facial_recognition_system

https://boimetricgroup.com/wily https://www.youtube.com