Automated fingerprint identification is like a game where you match identical pictures. For example, if you have a picture of a smiley face and another picture of a smiley face, you can say they match because they look the same. In the same way, people have their own unique fingerprints that no one else has. These fingerprints have patterns and ridges that are special to that person.
So, when someone commits a crime, investigators will often look for fingerprints left at the crime scene. They will take pictures or scans of these fingerprints and then put them into a computer program that can compare them to fingerprints already in the system (kind of like how you compare your crayon drawings to your previous ones).
The computer program will then look for matches in the patterns and ridges of the fingerprints. If it finds a match, it can help the investigators figure out who the fingerprint belongs to. This is like saying that the smiley face you drew matches the other smiley face you drew earlier.
Automated fingerprint identification is important because it helps investigators find the people responsible for crimes. It's kind of like a detective that can look at a lot of pictures very quickly and find the match.