Face Recognition Technology.pptx (Size: 479.9 KB / Downloads: 1285)
The information age is quickly revolutionizing the way transactions are completed. Everyday actions are increasingly being handled electronically, instead of with pencil and paper or face to face. This growth in electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. Access codes for buildings, banks accounts and computer systems often use PINâ„¢s for identification and security clearences.
FACE RECOGNITION TECHNOLOGY
Complex and largely software based technique
Analyze unique shape, pattern &positioning of facial features
It compare scans to records stored in central or local database or even on a smart card
WHAT IS BIOMETRICS
It is a unique measurable characteristics of a human being
Used to automatically recognize an individualâ„¢s identity
Two types 1.physiological &
2. behavioral characteristics include
A biometric system refers to integrated hardware and software used to conduct biometic identification
WHY WE CHOOSE FACE RECOGNITION OVER OTHER BIOMETRICS
It requires no physical interaction on behalf of user
It is accurate and allows for high enrolment and verification
Not require an expert to interpret the comparison result
Can use your existing infrastructure
Two types of comparison in face recognition
1.Verification- The system compare the given individual with who that individual says they are.
2 .Identification-The system compares a given individual to all the other individuals in the database and gives a ranked list of matches.
FOUR STAGES OF IDENTIFICATION
Capture-Capture the behavioral sample
Extraction-unique data is extracted from the sample and a template is created.
Comparison-the template is compared with a new sample.
Match/non match-the system decides whether the new samples are matched or not.
COMPONENTS OF FACE RECOGNITION
Enrollment module-An automated mechanism that scans and captures a digital or analog image of a living personal characteristics
Database-Another entity which handles compression ,processing ,data storage and compression of the captured data with stored data
Identification module-The third interfaces with the application system
False Acceptance Rate [FAR]
False Rejection Rates [FRR]
Equal error rate
IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY.
Face image classification
Convenience and social acceptability
Easy to use
Face recognition systems canâ„¢t tell the difference between identical twins
1. Law enforcement
4.Banking using ATM
Face recognition technologies have been
associated generally with very costly top secure
applications. Today the core technologies have
evolved and the cost of equipments is going down
dramatically due to the integration and the
increasing processing power. Certain applications
of face recognition technology are now cost
effective ,reliable and highly accurate. As a result
there are no technological or financial barriers for
stepping from the pilot project to widespread