Post on 12-Apr-2017
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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