How is facial recognition technology utilized in forensic science?

Facial recognition technology is utilized in forensic science primarily to identify suspects by comparing facial features with known databases. This process involves capturing an image of a person's face, which can then be analyzed for unique features, such as the distance between the eyes, the shape of the jaw, or other characteristics that distinguish one individual from another. By running the captured image through a database of known individuals, law enforcement officials can match the features to identify potential suspects.

This technology has become increasingly important in investigations as it can help law enforcement quickly narrow down potential suspects from a large pool, especially in cases where other evidence may be limited. Its application in forensic science improves the efficiency and effectiveness of investigations, allowing for faster resolution of cases while potentially preventing wrongful accusations.

The other options relate to different areas of interest: predicting criminal behavior involves psychological profiling rather than image analysis; identifying vehicle license plates pertains to license plate recognition technology, which focuses on vehicles rather than individuals; and enhancing images of crime scenes is a separate process aimed at improving the clarity of evidence rather than identifying individuals.