Facial Recognition System and Iris Recognition System

Facial Recognition System



Facial recognition is based on
determining shape and size of jaw, chin, shape and location of the eyes, eyebrows, nose, lips, and cheekbones. 2D facial scanners start reading face geometry and recording it on the grid. The facial geometry is transferred to the database in terms of points. The comparison algorithms perform face matching and come up with the results. Facial recognition is performed in the following ways −

Facial Metrics − In this type, the distances between pupils or from nose to lip or chin are measured.

Eigen faces − It is the process of analyzing the overall face image as a weighted combination of a number of faces.

Skin Texture Analysis − The unique lines, patterns, and spots apparent in a person’s skin are located.



Merits of Facial Recognition System

  • It offers easy storage of templates in database.
  • It reduces the statistic complexities to recognize face image.
  • It involves no physical contact with the system.


Demerits of Facial Recognition System
  • Facial traits change over time.
  • Uniqueness is not guaranteed, for example, in case of identical twins.
  • If a candidate face shows different expressions such as light smile, then it can affect the result.
  • It requires adequate lighting to get correct input.

Applications of Facial Recognition System
  • General Identity Verification.
  • Verification for access control.
  • Human-Computer Interaction.
  • Criminal Identification.
  • Surveillance.


Iris Recognition System


 
Iris recognition works on the basis of iris pattern in human eye. The iris is the pigmented elastic tissue that has adjustable circular opening in center. It controls the diameter of pupil. In adult humans, the texture of iris is stable throughout their lives. The iris patterns of left and right eyes are different. The iris patterns and colors change from person to person.

It involves taking the picture of iris with a capable camera, storing it, and comparing the same



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