How does Facial Recognition work?

 Facial Recognition Technology is the least intrusive and bio-metric method of technology which helps to Identify an individual Person with the data recorded of that Person. It works with the most obvious individual identifier. It is used to differentiate among the Group of Members. Facial recognition systems  based on face prints can quickly and accurately identify target individuals when the conditions are favorable.

Facial Recognition helps to analyze the facial features of a person’s face, including distances between eyes, nose, mouth, and jaw edges. These measurements are retained in database and used as a comparison when a user stands before the camera. This bio-metric has been widely, and perhaps wildly, touted as a fantastic system for recognizing potential threats (whether terrorist, scammer or known offender), but so far has not seen wide acceptance in high-level usage.

          It is projected that bio-metric facial recognition technology will soon overtake fingerprint bio-metrics as the most popular form of user authentication.Face Recognition Systems discreetly take pictures of people’s faces when entering a defined area. There is no intrusion or delay, and in most cases the subjects are entirely unaware of the process. They do not feel “under surveillance” or that their privacy has been invaded.


Facial recognition system works with numeric codes called face-prints. Each Human face has approximately 80 nodal points. Nodal Points are measured by the Facial Recognition Technology as given below.

  • Eyes – Distance between two eyes and also depth of eye Sockets
  • Nose – Width of the Nose
  • Cheekbones – Means Shape of Cheekbones
  • Jaw Line – Length of Jaw Line

These nodal points are measured by  creating a numerical code, called a face print, representing the face in the database. The following four stages will illustrate the way bio-metric systems operate:

Capture – A physical or behavioral sample is captured by the system during inscription Extraction. From the created sample and a template the unique data is extracted

Comparison –  Template is then compared with a new sample

Matching – The system then decides if the features extracted from the new sample are matching or not. When the user faces the camera, stand about two feet from it. The system will locate the user’s face and make matches against the claimed identity or facial database. It is possible that the user may need to move and reattempt the verification based on his facial position. The system usually comes to a decision in less than 5 seconds.


  • It is used to find missing Children and Better Security
  • Used to Prevent the card Counters and social Acceptability is High
  • It helps to prevent Voters Fraud
  • Helps to Identify Criminals & Terrorists etc.
  • It is used by picking faces Out of a Crowd


  • Considered an invasion of privacy to be Watched
  • Can easily be Abused
  • It’s not Always Accurate
  • 2D recognition is affected by changes in lighting, the person’s hair, the age, and if the person wear glasses.
  • It requires camera equipment for user identification, therefore it is not likely to become popular until most PCs include cameras as standard equipment.


All of this makes face recognition ideal for high traffic areas open to the public, such as:

  • Airports and Railway stations
  • Corporations
  • Cashpoints
  • Stadiums
  • Public transportation
  • Financial institutions
  • Government offices
  • Businesses of all kinds

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