Facial recognition system is a biometric security system for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. Face recognition can be used for both verification and identification of humans. Face Recognition techniques are typically used in biometric security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems.

How Face Recognition Algorithms work?

Facial recognition algorithms identify faces by extracting landmarks, or features, from an image of the person’s face. For example, an algorithm may analyze the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw. These features are then used to search for other images with matching features.

Advantages of Face Recognition Biometric Security System

Among the different biometric techniques, facial recognition may not be the most reliable and efficient. However, one key advantage is that it does not require aid (or consent) from the test subject. Properly designed systems installed in airports, multiplexes, and other public places can identify individuals among the crowd. Other biometrics like fingerprints, iris scans, and speech recognition cannot perform this kind of mass identification.

Drawbacks of Face Recognition Biometric Security System

  • Face recognition is not perfect and struggles to perform under certain conditions. Face recognition has been getting pretty good at full frontal faces and 20 degrees off, but it doesn’t perform well if the person’s face is not directed towards the cameras.
  • Face recognition does not work well include poor lighting, sunglasses, long hair, or other objects partially covering the subject’s face, and low resolution images.
  • Another serious disadvantage is that many systems are less effective if facial expressions vary. Even a big smile can render the system less effective.