Biometrics (Download Full Report And Abstract)

[seminar class]

Presented by:
Pravin Tapse
&
Onkar Phutane

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Biometrics
Three Basic Identification Methods
Biometrics
Refer to a broad range of technologies
Automate the identification or verification of an individual
Based on human characteristics
Physiological: Face, fingerprint, iris
Behavioural: Hand-written signature, gait, voice
Identification vs. Verification
Working of a biometric system
Pattern Recognition
Pattern may be in the form of fingerprint image, a handwritten cursive word, a human face, or may be in speech signal.
Pattern recognition system recognizes a person by comparing the binary code of a uniquely specific biological or physical characteristic to the binary code of the stored characteristic.
COMPONENTS OF A PATTERN RECOGNITION SYSTEM:
Applications
Fingerprints
Face Recognition
Speaker Recognition
Iris Recognition
Hand and Finger Geometry
Signature Verification
Fingerprint
Finger-scan biometrics is based on the distinctive characteristics of the human fingerprint.
A fingerprint image is read from a capture device, features are extracted from the image, and a template is created.
If appropriate precautions are followed, what results is a very accurate means of authentication.
Accuracy
False Rejection Rates (FRR), in the vicinity of 0.01%.
False Acceptance Rates (FAR), in the vicinity of 0.001%.
Equal Error Rate, frequently claimed to be 0.1%.
Hand Geometry and Palmprints
Palmprints are an extension of fingerprint
Hand shape new technique of identification
Uses features such as finger position, shape, length, width, and curvature
HAND VERIFICATION
Iris scan
Perhaps the most reliable of all biometrics
The human iris contains around 266 visible patterns, which forms the basis of several recognition algorithms
Even on the same person, left and right irises are different. The iris is unique to an individual and is stable with age
Types of Facial Recognition Systems
Feature based
Finds certain points such as tip of nose, eyes, and ends of mouth
Creates a geometric map of the face
Global
Uses the entire face image
Eigenface technique
Facial Recognition
Emerging Technologies
Vein Scanning
Facial Thermography
DNA Matching
Odor Sensing
Blood Pulse Measurement
Skin Pattern Recognition
Nailbed Identification
Gait Recognition
Ear Shape Recognition
Conclusion
Biometrics are going to be used for many things in the near future
Introduced under the assumption that its for convenience
In reality there for security
Accomplishes both very well