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Bio Metric 1

Apr 09, 2018

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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

    Click to edit Master text stylesSecond level Third level Fourth level

    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

    Click to edit Master text stylesSecond level Third level Fourth level Fifth level

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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