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fingerprint based car ignition system
Transcript of fingerprint based car ignition system
“Fingerprint Based Car Ignition System” Advisor: Dr. Nazar Abbas
Co-advisor: Nasir Mehmood
Usman Aziz (2006-NUST-BEE-159)
Saad Hussain (2007-NUST-BEE-290)
Usman Moin (2007-NUST-BEE-303) Abstract
Fingerprint based car ignition system is a system that is based on biometrics.
The system replaces the existing manual ignition system of a vehicle with the fingerprint recognition of the user.
The engine starts when the user puts his finger on the fingerprint sensor and has been verified.
The voice IC and LCD guides the user about the system . The System System Specifications
Enrollment and un-enrollment of different users
Enable system (ignition with fingerprint)
Disable system (ignition with key)
Empty the fingerprint library (Delete all users)
These specifications can be accessed only by entering the correct password from the keypad. List of Components
Fingerprint Module R303A
Voice IC ISD2590
Resistors (1k, 5k, 10k, 12k,)
Capacitors (1uF, 22uF, 33pf)
AVR ATMEGA 16
ATMEL 89c51 Fingerprint Module R303A Related Work and Literature Survey
Study of Microcontrollers
Study of Biometrics
Study of Fingerprint system
Study of the relevant data sheets of desired ICs
Study of desired components to use.
The tools to be used for this project are following:
Proteus What is Biometrics?
A technology of using human body characteristics such as fingerprints, eye retinas and irises, voice patterns, facial patterns and hand measurement for authentication purposes. Biometric Authentication System
Constitutes three basic processes:
Storage of biometric samples
User authentication Categories of Biometrics
Physiological biometrics which is related to the shape of the body.
Examples include: DNA, ear, face, fingerprint, hand geometry, iris and retina
Behavioral biometrics which is related to the behavior of a person.
Examples include: gait, signature and voice Applications of Biometrics
Categorized into five main groups:
e.g. Identification of criminals, Surveillance, Corrections, Probation.
e.g. National Identification Cards, Voter ID and Elections, Employee authentication, Military programs.
e.g. Account access, ATMs, Online banking, Telephony transaction, E-commerce, Time and attendance monitoring.
4.Health Care applications
e.g. Access to personal information, Patient identification, medical informatics.
5.Travel and Immigration applications
e.g. Air travel, Border crossing, Employee access, Passports. Fingerprint System
is an impression left by the friction ridges of a human finger
a raised portion of the skin on the fingers. Fingerprint Identification
The process of comparing two instances of friction ridge skin impressions from human fingers, the palm of the hand or toes, to determine whether these impressions could have come from the same individual. Fingerprint Types
Fingerprints collected intentionally for some purpose.
Any by chance or accidental impression left by friction ridge skin on a surface.
The chance friction ridge impressions left on a surface by materials such as ink, dirt, or blood.
A friction ridge impression left in a material that retains the shape of the ridge detail. e.g.candle wax, thick grease deposits on car parts, etc. Factors causing a fingerprint to appear differently from any known recording of the same friction ridges
flexibility of the skin
the material from which the surface is made
the roughness of the surface
the substance deposited Fingerprint Sensors, Capturing and Detection
an electronic device that captures a digital image of the fingerprint pattern called a live scan*.
This live scan is digitally processed to create a biometric template (a collection of extracted features) which is stored and used for matching.
Live scan devices measure the physical difference between ridges and valleys.
*Live Scan is a technique with which Friction ridges can be recorded digitally. How Fingerprint Scanner Works? Fingerprint Recognition
refers to the automated method of verifying a match between two human fingerprints
Fingerprint matching consists of the comparison of several features of the print pattern, which include:
Patterns, which are aggregate characteristics of ridges
Minutia points, which are unique features found within the patterns Patterns
Loop : a pattern where the ridges enter from one side of a finger, form a curve, and tend to exit from the same side they enter
Whorl : a pattern in which ridges form circularly around a central point on the finger
Arc : a pattern where the ridges enter from one side of the finger, rise in the center forming an arc, and then exit the other side of the finger. Minutia
the point at which a ridge terminates
points at which a single ridge splits into two ridges
Short ridge (or dot)
ridges which are significantly shorter than the average ridge length on the fingerprint Pattern-based (or image-based) Algorithm
compares the basic fingerprint patterns (arch, whorl, and loop) between a previously stored template and a candidate fingerprint
the algorithm finds a central point in the fingerprint image and centers on that
the template contains the type, size, and orientation of patterns within the aligned fingerprint image
the candidate fingerprint image is graphically compared with the template to determine the degree to which they match Computational Algorithms for Fingerprint Recognition
Learned template based minutiae extraction algorithm
Triplets of minutiae based fingerprint indexing algorithm
Genetic algorithm based fingerprint matching algorithm
Genetic programming based feature learning algorithm for fingerprint classification
Comparison of classification and indexing based approaches for identification
Fundamental fingerprint matching performance prediction analysis and its validation