Fingerprint Recognition: Unveiling The Science Behind Authentication Systems

Fingerprint Recognition: Unveiling The Science Behind Authentication Systems

Assessment

Interactive Video

Computers, Science, Biology

9th - 10th Grade

Practice Problem

Hard

Created by

Patricia Brown

FREE Resource

The video explores fingerprint authentication as an alternative to neural network-based systems. It explains the process of feature extraction and matching in fingerprints, focusing on minutiae points. The challenges in fingerprint matching, such as variations in impressions, are discussed, along with solutions like alignment processes. The video concludes with insights into the efficiency of these methods compared to storing full fingerprint images.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary difference between face ID and fingerprint recognition systems?

Face ID uses neural networks, while fingerprint recognition does not.

Fingerprint recognition uses neural networks, while face ID does not.

Both use neural networks equally.

Neither uses neural networks.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in the fingerprint recognition process?

Matching fingerprints

Extracting features

Storing fingerprint images

Using neural networks

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are minutiae points in fingerprint recognition?

The color of the fingerprint

The size of the fingerprint

The overall shape of the fingerprint

The unique points used for matching

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a Level 1 feature in fingerprint recognition?

Minutiae points

Pores

Fingerprint color

Orientations

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a core in the context of fingerprint features?

A fingerprint sensor

A color pattern

A singular point in a fingerprint

A type of minutiae point

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why are pores not typically used in fingerprint matching?

They change over time

They are not unique

They require high-resolution images

They are too small to detect

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main challenge in the fingerprint matching process?

Using neural networks

Detecting fingerprint color

Aligning minutiae points

Storing fingerprint images

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