Transcript
PRESENTATIONON
FACE RECOGNITION TECHNOLOGY
BY SAGHIR HUSSAINROLL NO:-162DEPT:-CSEACADEMY OF TECHNOLOGY
INTRODUCTION
a. Finger-scan b. Facial Recognition c. Iris-scan d. Retina-scan e. Hand-scan
WHAT ARE BIOMETRICS?
Why we choose FACE RECOGNITION over other BIOMETRICS ?
FACE RECOGNITION
DIFFERENCE BETWEEN FACE RECOGNITION & FACE
DETECTION?
HOW FACE RECOGNITION SYSTEMS WORK?
“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
FACE BUNCH GRAPH
1. Principal Component Analysis(PCA) based eigenfaces
2. Linear Discriminate Analysis(LDA)3. Elastic Bunch Graph Matching using
Fisherface Algorithm4. Hidden Markov model5. Neural Motivated Dynamic Link Matching
The existing Face Recognition algorithms are not 100% efficient yet.
POPULAR RECOGNITION ALGORITHMS
ADVANTAGES AND DISADVANTAGES
APPLICATIONSThe 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.
ANY QUERY
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