This document discusses different biometric identification methods such as finger-scan, facial recognition, iris-scan, and retina-scan. It notes there are approximately 80 nodal points on a human face that can be used for facial recognition, including the distance between the eyes, width of the nose, depth of the eye socket, cheekbones, jaw line, and chin. The document outlines several existing facial recognition algorithms and notes they are not yet 100% efficient. It concludes by describing potential government and commercial uses of facial recognition technology, such as for law enforcement, security, immigration, voting verification, residential security, and banking ATMs.

1. BY SAGHIR HUSSAIN
ROLL NO:-162
DEPT:-CSE
ACADEMY OF TECHNOLOGY

3.  a. Finger-scan
 b. Facial Recognition
 c. Iris-scan
 d. Retina-scan
 e. Hand-scan

9. “80 nodal points” on a
human face.
Few nodal points are:
• Distance between the
eyes
• Width of the nose
• Depth of the eye
socket
• Cheekbones
• Jaw line
• Chin

11. 1. Principal Component Analysis(PCA) based
eigenfaces
2. Linear Discriminate Analysis(LDA)
3. Elastic Bunch Graph Matching using
Fisherface Algorithm
4. Hidden Markov model
5. Neural Motivated Dynamic Link Matching
 The existing Face Recognition algorithms are
not 100% efficient yet.

13. The natural use of face recognition technology is the replacement of PIN.
1 Government Use:
a. Law Enforcement
b. Security/Counterterrorism
c. Immigration
d. Voter verification
2 Commercial Use:
a. Residential Security
d. Banking using ATM
c. Physical access control of buildings areas, doors, cars or net access.

15. ANY QUERY