Question

How does facial recognition software identify individuals from a database of thousands of driver's license photos and arrest mug shots?

A. The software looks at hairlines and eye color to establish a match between a photograph on file and a suspect.

B. The software is able to zoom in on the image from a surveillance camera and compare features such as distance between the eyes,width of the nose, and length of the jawline to those features on thousands of photographs.

C. The software is able to compare every photograph in its database with individuals passing under surveillance cameras in under
fifteen seconds.

D. Facial recognition has been shown to be largely ineffective.

Please help me if these questions I’m really stuck

Answer 1

Facial recognition software uses biometric features such as the distance between the eyes, width of the nose, and length of the jawline to match an individual with photos in a database.

Step-by-step explanation:

Facial recognition software identifies individuals from a database of driver's license photos and arrest mug shots primarily by analyzing and comparing biometric features. The correct answer is B. The software compares features such as the distance between the eyes, width of the nose, and length of the jawline.

These are distinct and measurable aspects of a person's facial structure that can be detected and quantified by the software. While answer C mentions the speed at which facial recognition software can perform comparisons, it does not provide insight into the actual method of identification, making answer B the most accurate response.

Answer 2

A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match. Facial recognition can help verify a person's identity, but it also raises privacy issues.