1. Facial Recognition: Facial recognition technology is used to identify individuals through their unique facial features. It is commonly used in secure access control systems for building entry, border security, and surveillance.

2. Fingerprint Recognition: Fingerprint recognition is one of the oldest and most widely used biometric technologies. It analyzes the unique patterns of ridges and valleys on an individual’s fingerprints to verify their identity.

3. Iris Recognition: Iris recognition uses the unique patterns in the colored part of the eye (iris) to identify individuals. It is highly accurate and often employed in high-security access control systems, such as data centers and airports.

4. Voice Recognition: Voice recognition technology analyzes an individual’s voice patterns and characteristics to verify their identity. It can be used for secure access control systems, phone authentication, and voice-activated systems.

5. Palm Recognition: Palm recognition technology analyzes the vein patterns in an individual’s palm to establish their identity. It is often used in high-security access control systems, such as hospitals and research laboratories.

6. Hand Geometry: Hand geometry recognition measures the size and shape of an individual’s hand to verify their identity. It is commonly used in industrial access control systems and can tolerate variations due to gloves or injury.

7. Signature Recognition: Signature recognition analyzes an individual’s signature for authentication purposes. It is often used in financial institutions for secure access control to bank accounts and transactions.

8. DNA Matching: DNA matching uses an individual’s unique genetic code to verify identity. While it has less widespread application in access control systems, it can be used for highly secure environments such as government and military facilities.

9. Vein Recognition: Vein recognition technology scans the vein patterns in an individual’s hand or finger to verify identity. It is highly secure and can be used in access control systems and financial transactions.

10. Gait Recognition: Gait recognition technology analyzes an individual’s walking pattern for identification. It is used in access control systems, surveillance, and monitoring in public places like airports and train stations.

These advancements in biometrics have significantly enhanced security in access control systems, providing more accurate and convenient methods for verifying individuals’ identities.