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  2. Biometric device - Wikipedia

    en.wikipedia.org/wiki/Biometric_device

    Iris recognition is widely applied by organisations dealing with the masses, one being the Aadhaar identification carried out by the Government of India to keep records of its population. The reason for this is that iris recognition makes use of iris prints of humans, which hardly evolve during one's lifetime and are extremely stable.

  3. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    Facial recognition software at a US airport Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.

  4. Biometrics - Wikipedia

    en.wikipedia.org/wiki/Biometrics

    Some of the proposed techniques operate using their own recognition engines, such as Teoh et al. [61] and Savvides et al., [62] whereas other methods, such as Dabbah et al., [63] take the advantage of the advancement of the well-established biometric research for their recognition front-end to conduct recognition. Although this increases the ...

  5. Face Recognition Vendor Test - Wikipedia

    en.wikipedia.org/wiki/Face_Recognition_Vendor_Test

    FRVT Ongoing now has roughly 200 face recognition algorithms and tests against at least six collections of photographs [5] with multiple photographs of more than 8 million people. The best algorithms for 1:1 verification gives False Non Match Rates of 0.0003 at False Match Rates of 0.0001 on high quality visa images.

  6. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    The input is an RGB image of the face, scaled to resolution , and the output is a real vector of dimension 4096, being the feature vector of the face image. In the 2014 paper, [ 13 ] an additional fully connected layer is added at the end to classify the face image into one of 4030 possible persons that the network had seen during training time.

  7. Amazon Rekognition - Wikipedia

    en.wikipedia.org/wiki/Amazon_Rekognition

    Celebrity recognition in images [3] [4]; Facial attribute detection in images, including gender, age range, emotions (e.g. happy, calm, disgusted), whether the face has a beard or mustache, whether the face has eyeglasses or sunglasses, whether the eyes are open, whether the mouth is open, whether the person is smiling, and the location of several markers such as the pupils and jaw line.

  8. States with the Highest and Lowest Property Tax Rates - AOL

    www.aol.com/states-highest-lowest-property-tax...

    9. Kansas. When it comes to expensive states for homeowners, the state of Kansas doesn’t often come to mind. But it has an average property tax rate of 1.26%.

  9. Eigenface - Wikipedia

    en.wikipedia.org/wiki/Eigenface

    Eigenface provides an easy and cheap way to realize face recognition in that: Its training process is completely automatic and easy to code. Eigenface adequately reduces statistical complexity in face image representation. Once eigenfaces of a database are calculated, face recognition can be achieved in real time.