Fingerprint Recognition

Description

  • Fingerprint recognition refers to the automated method of identifying or confirming the identity of an individual based on the comparisson of two fingerprints. 
  • Fingerprint recognition is one of the most well known biometrics, and it is by far the most used biometric solution for authentication on computerized systems.

Face Recognition

Description

  • Facial recognition Like all biometrics solutions, face recognition technology measures and matches the unique characteristics for the purposes of identification or authentication.
  • Often leveraging a digital or connected camera, facial recognition software can detect faces in images, quantify their features, and then match them

Iris Recognition

Description

  • Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance

Voice Recognition

Description

  • Speaker recognition is the identification of a person from characteristics of voices (voice biometrics). It is also called voice recognition.
  • There is a difference between speaker recognition (recognizing who is speaking) and speech recognition (recognizing what is being said).

Signature recognition

Description

  • Signature recognition is a behavioural biometric. It can be operated in two different ways:
  • Static: In this mode, users write their signature on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the signature analyzing its shape.
  • Dynamic: In this mode, users write their signature in a digitizing tablet, which acquires the signature in real time.