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FACE RECOGNITION
TECHNIQUE
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BIOMETRICS SECURITY
Biometrics includes the study ofmethods for uniquely recognizinghumans based upon one or more
intrinsic physical or behavioral traitssuch as eye iris, voice tones, palmprint, face outline...
Biometric Technologies fill the role ofanalyzing and measuring uniquebiological properties in order to
produce unique identifications which is
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BIOMETRICS TYPES
Physiological biometrics
q It is related to the shape of
the body.
Behavioral biometrics
q It is related to the behaviorof a person.
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BIOMETRICS TYPES
Physiological biometrics
Face Recognition
Finger-scan
Iris-scan
Retina-scan
Hand-scan
Behavioral biometrics
Voice-scan
Signature-scan
Keystroke-scan
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FACEAUTHENTICATION
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Fifth level
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ALGORITHMS IN USE
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Explanation of the terms
Face Detection: locating the face inthe photo or video and removingunnecessary details on the
background.
Feature Extraction: extracting facialcharacteristics needed for recognition.
Feature Match: comparing scannedinformation with database to decide ifitmatches some users face. If the
face matched, the ID of the
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FACE RECOGNITION
SOFTWARESClick to edit Master text stylesSecond level Third level Fourth level Fifth level
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MEASURING FACE
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DRAWBACKS
Face Recognition incomparison with other
biometric recognition systemsInfluences of varied lighting
Influences of image capturingdevices
Influences of Image Processing
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Face Recognition incomparison with otherbiometric recognition
systems
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Influences of variedlighting
As introduced, the basis algorithmshave not worked well when there arechanges in lighting .
In the latest performancemeasurement report of facerecognition algorithms, the result was
only good when the lighting did notchange.
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Influences of imagecapturing devices
The algorithms applied to testedenvironments where the database inuse was limited and the images had
high resolutions while the majority ofcameras produced by the threes havelow resolution (the highest is only 1.3
Megapixel, and the lowest is 0.3Megapixel).
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Influences of ImageProcessing
One special point we found out whenstudying those algorithms is that all ofthem work with images that have
already been digitalized and gonethrough image Processing.
Consequently, we think that this is the
weakest security spot in facerecognition systems generally andaccess control system of the three
vendors particularly.
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THANK YOU..
BYDHILIP
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