A Partner company of

Acknowledgement• I would like to like to thank Mr. David, who gave us this opportunity to

work with Face and Voice biometric cloud detection software. His ideas are innovative and are kept under Non Disclosure Agreement. Upon his wish me and my team has made this automated presentation just to give an overview of what our system is going to do. • I would also like to thank my Research and Development team,

without them I could not have successfully completed this presentation.

Our Team of Research and Development• Team Leader : Bapita Roy

Associate team leader: Soumyajit MaityR&D engineer: Rudrajit Singh• Customer Support: Krishna Saha

Security using Face and Voice Recognition

There will be two kinds of security system in the project• Face recognition • Voice recognition

SSL or https security also be additionally provided for websites

Integration of Biometric authentication for applications

The others are Finger print, Hand print, Iris, DNA, Signature etc. These are not part of our project as of now.

Our Face Recognition Algorithm Process

Face detection Face separation

Face recognition

Matches with database

Unlock the System Create Blocks and matches the pattern

Algorithm Process

Normal face

2D Alignment

Shape reconstruction Texture Extraction

3D Database

modelsS/W

ExpressionIlluminationPoseRecognitionNew face

Classifier

The Software will follow the Mathematics

Application reads geometry of FACE(as plotted in the grid above)

Points are transferred to DB as an algorithm of numbers

This is stored as an UNIQUE FACE ID by application

The face ID is mapped with individual detailsAnd user IDENTITY is created.

Points of RecognitionSoftware will assess the texture of skin

which will detect moles like identification

Search for shadows to identify wrinkles and

age

To identify shape of lips to identify mood and

gender

Eyebrow shape key to determine mood of a

person

Any jewelry will help s/w to identify gender

Shadows cast by hair to identify age

Different features of our face recognition in our software would be

Permanent protection of your system

Face evolution also it can be detect

Multiple background of images also can be detected

Overview to the flow in voice recognition

End point detection Noise Elimination Feature Extraction Voice Model

Voice MatchingConfidence coefficient

Voice Registration

Result

Voice Identify

Yes

No

No

Voice Verification

Models in Voice Biometric

Web Network

ModelsGrammers

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