Recent Reports on the auto industry trends states that the car industry is growing at a rate of 8% world over. The Indian car segment is scaling a growth rate of more than 10 -20 percent. This growth has also resulted in growth of one more Industry the car theft industry as more the number of cars more the opportunity to steal. It's all too easy for criminals to steal cars. The theft and subsequent use of a car can endanger other lives. All car owners need to accept the responsibility to secure their vehicle and reduce the number of opportunist thefts. It is mandatory to use biometrics as it provides a layer of security to the existing system in vehicle. Among all the biometric techniques, fingerprint-based identification is the most common method which has been successfully used in numerous applications. The uniqueness of a fingerprint can be determined by the pattern of ridges and furrows as well as the minutiae points. Minutiae points are local ridge characteristics that occur at either a ridge bifurcation or a ridge ending.
[...] Image Enhancement Method Fingerprint Matching Among all the biometric techniques, is the been robustness .Ridge ending 2 .Ridge bifurcation. performance of an automatic fingerprint identification/verification system will be robust with respect to the quality of the fingerprint incorporate images, a it is essential to fingerprint-based common method identification which has fingerprint enhancement algorithm in the minutiae extraction module. successfully used in numerous applications. Everyone is known to have unique, of a registration point and are affected by image translation and rotation. [...]
[...] Which enables a high level of security to the vehicles as the dead celled finger can't be used as the input to the system Motivation The existing electronic facilities in cars motivated us to propose a new method of adding biometrics to the car security. In the 90 years since fingerprinting was generally introduced, out of the millions of sets of prints that have been taken, no two Individuals have been found to have same fingerprints. Charles Palmer, head security researcher for International Business convenience and diagnostic electronic hand brakes and airbags. [...]
[...] It is compact amenable to matching algorithm rebuts to noise and distortion. Mostly 150 types of minutiae detail in finger print image are not stable and cannot be reliably identified. Two prominent types of minutiae details are used for Fig.2. Types of Fingerprints Fingerprint Image Enhancement A critical step in automatic fingerprint matching is to automatically and reliably extract minutiae from the input fingerprint images. However, the performance of a minutiae extraction algorithm relies heavily on the quality of the input fingerprint images. In order to ensure that the Fig.3. [...]
[...] is able The to authentication system requires a very low False Reject Rate (FAR) for a given False Accept Rate (FAR) . In a real application, the sensor, the variation in performance of the system over time is very critical correlation-based method overcome some of the difficulties of the minutiae-based approach. However, it has some of its own shortcomings. Correlationbased techniques require the precise location loops and minutiae points located using minutiae-points Using any suitable matching algorithm, check whether the processed image matches with the existing fingerprint templates in the database . [...]
[...] Those points are converted to a numeric string by a mathematical algorithm, and then stored for later analysis. But those Detection of dead person's finger print The fingerprint reader is an optical finger scanner and using a specially designed prism which detects certain definitions from a live print such as oily texture and ridges. A dead person's finger will not have these features and cannot be used. Blood pressure on a live finger maintains the ridges, while a dead finger will go flat in relatively little time. [...]
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