Fingerprint recognition is easily deceived.

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Multiple Choice

Fingerprint recognition is easily deceived.

Explanation:
Biometric systems must resist spoofing, and fingerprints are a well-known attack vector when anti-spoofing measures aren’t in place. The idea is that a fingerprint can be lifted from a surface and reproduced as a fake print using materials like gelatin, latex, silicone, or even a 3D-printed mold. If the sensor relies mainly on pattern matching of ridges without checking liveness (blood flow, temperature, pulse, or other signs the finger is real), it may accept the fake and grant access. That’s why the statement is considered true: fingerprint recognition can be deceived under conditions where anti-spoofing isn’t effective. In modern systems, stronger protections like liveness detection and multi-factor authentication reduce this risk, so it’s not always easily deceived. But the basic principle remains: without safeguards, fingerprints can be spoofed, making deception possible in many real-world scenarios.

Biometric systems must resist spoofing, and fingerprints are a well-known attack vector when anti-spoofing measures aren’t in place. The idea is that a fingerprint can be lifted from a surface and reproduced as a fake print using materials like gelatin, latex, silicone, or even a 3D-printed mold. If the sensor relies mainly on pattern matching of ridges without checking liveness (blood flow, temperature, pulse, or other signs the finger is real), it may accept the fake and grant access. That’s why the statement is considered true: fingerprint recognition can be deceived under conditions where anti-spoofing isn’t effective.

In modern systems, stronger protections like liveness detection and multi-factor authentication reduce this risk, so it’s not always easily deceived. But the basic principle remains: without safeguards, fingerprints can be spoofed, making deception possible in many real-world scenarios.

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