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WHAT SECURITY ? WHY SECURITY ?
SECURITY SYSTEM
ALEXENDAR FISH & LINAS YEL - 1844
INTRODUCTION
BIO = PERTAINING TO BIOLOGY &
METRICS = SCIENCE OR ART OF MEASUREMENT
FUNDAMENTAL OPERATIONS
1.CAPTURE
2.EXTRACTION
3.COMPARISON
4.MATCH/NONMATCH
A FEW DEFINATION
BIOMETRICS AUTHENTICATION
BIOMETRICS,BIOMETRIC OR BIOMETRY
AUTHENTICATION Vs IDENTIFICATION
HISTORY OF BIOMETRICS
FRANCIS GALTON – 1892.
In 1968, Biometrics technique was implem-
ented in New York bank.
But after1990, IT comes in picture ,through
Its advancement and simplicity Biometrics
Technique become very popular.
GENERIC MODEL OF BIOMETRICS
PHASE OF BIOMETRICS
1.INPUT
2.PROCESS
3.OUTPUT
BIOMETRICS IDENTIFICATION
VOICE PRINT
FINGER PRINT
IRIS PATTERN
FACE PRINT
HAND GEOMETRY
RETINAL SCAN
KEYSTROKE DYNAMICS
FACIAL RECOGNITION
SIGNATURE RECOGNITION
VOICE PRINT
Voice print is recorded by microphones.
Voice print is determined by many different factors: size of vocalcactivites (throat, oral, nasal) as well as the characteristic of the vocal chords themselves.
Your voice is further modified by the way you speak the way your mouth, lips, teeth, jaw and tongue move. Therefore, the chance of two people have
FINGER PRINT
Finger print is also called finger scanning.
To scan the finger print, a special kind of scanner that can work with optical rays is used.
it fetches the diagram of finger print & delivers it to the computer where a special programmer measures the distance between the special features & that print.
Here, those special features are core, split, island, end &delta. Most fingerprint data takes up around 250kb
IRIS PATTERN
Iris is located behind the cornea of the eye and front of the lens. Its only physiological purpose is to control the amount of light that enters the eye through the pupil, but iss construction from elastic connective tissue gives it a complex, fibrillous pattern.
Finger print technique there are only 90 special features, but in iris pattern there are 266 special features.
FACE PRINT
It use various features of the face to recognize or verify a user.
Use various kind of camera and computer .
The computer converted this feature into digital form.
HAND GEOMETRY
Most widely used biometrics sys.
It use the geometric shape of the hand for authenticating the user’s identity.
Generally two method is used:
1. mechanical.
2. Image edge detection.
Hand scanner is used in this method which is shown in fig.
RETINA SCAN
Retina scan method is based on the blood vessel pattern in the retina of eye.
The device used in this method is shown in the fig. on this the user position there head against a support and a low power infrared light is directed against the back of the retina.
KEYSTROKE DYNAMICS
This method analyzes the way in which a user types at a computer keyboard.
The durations of keystrokes and the latencies between them are recorded
FACE RECOGNITON
Facial recognition technique has recently developed into two areas of study;
1. Facial metrics.
2. Eigenfaces.
SIGNATURE RECOGNITION
It is based on the dynamics of making the signature.
i.e. accretion rates, direction, pressure, stroke length etc.
The problem is measurement used in the recognition process and repeatability of the signature.
BIOMETRICS CAPTURED USING WEB CAM AND MICROPHONE
COMPARISON OF BIOMETRICS TECHNIQUES
Table show the crossover accuracy of different biometrics.
crossover accuracy is the ratio of the crossover Frequency as compared to the whole population of tested data.
HOW WELL DO BIOMETRICS WORK?
FALSE ACCEPT RATE
FALSE REJECT RATE
EQUAL ERROR RATE
VALIDITY OF DATA
IS DNA A BIOMETRICS?
DNA differs from standard biometrics in several ways.
DNA is type of biometric in as much as it is the use of physiological characteristic two verify or determine identity.
ABOUT BIOMETRICS
Where Biometrics is used?
The new opportunities & Future Technologies.
Benefits.