Fingerprint Recognition System- A Human Machine Interface 1Munish Kumar, 2Dr. Priyanka Department of Electronics and Communication Engineering
Deenbandhu Chhotu Ram University of Science and Technology, Murthal
1engg.munishkumar@gmail.com, 2priyankaiit@yahoo.co.in
Abstract: - Fingerprint Recognition System refers to the automated method of identification or confirming the identity of an individual based on fingerprint patterns. The analysis of fingerprints for matching purposes generally requires the comparison of several features of the fingerprints. This paper presents the basic steps used in fingerprint recognition system, various matching techniques, identification keys and challenges in fingerprint recognition system. An overview is
…show more content…
As there are many biometrics information, that can be used for authentication. Parameters used for accuracy or to compare different biometric systems are FAR (False Acceptance Rate), FRR (False Reject Rate) & EER (Equal Error Rate). If unauthorized users want to access the system and wrongly accepted by the system due to hacking or any other reasons, then this acceptance is called false acceptance. The FAR is defined as the ratio of the number of the false acceptances to the number of identification attempts [3]. If an authorized user wants to access the system and wrongly rejected by the system due to hacking or any other reasons, then this rejection is called false reject. The FRR is defined as the ratio of the number of the false rejections to the number of identification attempts. A good FRS must have lower values of FRR & FAR. In general attempt to decrease FRR results in increased FAR & vice versa. So a minimum point is needed where the value of FRR & FAR is same so that the performance/security of the system is increased. And that point is EER. EER is defined as the value at the point of intersection between the FAR & FRR. At this point the value of FAR & FRR are same. The performance of the system increases with decrease in the value of EER. Table 1 summarizes the analysis of different biometrics information according to different parameters [3, 4, …show more content…
injuries and cuts in finger.
• Mismatching due to displacement/rotation while scanning the finger over the sensor.
• Unauthorized access due to finger plasticity or clay printing.
• Variability between impressions of the same finger that may be due to skin conditions, noise in sensor etc.
For researchers there is lot of scope in this filed to improve the performance of FRS. For example, one can work to:
• Use the image processing techniques to improve or enhance the input image to a very good level so that features may be extracted more accurately without losing any information.
• Provide a better algorithm for reducing the mismatching due to physical distortion & displacement etc.
• By combining different fingerprint recognition algorithms, a new approach with better recognition rate and matching technique may be developed for FRS.
FRS has applications in different areas. Some of main applications are given below [7] [8]:
• Physical Access control for Border, Airports etc.
• Physical Access control in Ministry of Defence & other National Security
5.2 GABOR-KPCA Results: Using Mahalanobis Cosine (MAHCOS) Distance Identification experiments: The rank one recognition rate of the experiments equals (in %): 80.00% Verification/authentication experiments on the evaluation data: The equal error rate on the evaluation set equals (in %): 4.17% The minimal half total error rate on the evaluation set equals (in %): 2.68%
In the event that a legitimate casing is gotten before the EIFS has terminated, the EIFS clock is dropped since ordinary synchronization with the system has
4.1 Theft In the event of physical thefts of company equipment or other network property we have to secure vulnerabilities in company property access and perimeter physical barrier that protects all company assets. To prevent intruders from accessing company grounds without authorization we have many choices in physical controls such as surveillance cable/laptop locks, cameras, security guard, alarm system, access control scanners at entry points, mantraps. As a preventative measure from property break-ins, all lower level (easily accessed from outside) office windows must be protected by installing window bars and/or using fence that secures all company property limits. In addition, a mantrap interlocking door control would greatly increase security.
One of the tests was the touch test; how that would work was that a person would
Fingerprint is standard procedure when getting arrested or getting any sort of government jobs
Let 's begin with a definition. What are Biometric Gun Safes? These are simply the latest, next-generation upgrade of pistol safes available today. (Of course, the locking mechanism may be used on other types of safe, but for the purpose of this article, we 'll focus more on the pistol-size
Case 1: San Francisco International Airport and Quantum Secures SAFE for Aviation System San Francisco International Airport is expecting a rise of passengers due to an increase of low-cost carriers. They require a new security management system to accommodate the amount of traffic expected. Their current process is inefficient and disjointed, leading to many problems. The upgrade required needs to be justified and approved by management to be funded. 1.
2.4 Band Division and Energy Computation: The power spectrum of the signal is multiplied by magnitude response of set of 33 triangular band pass filters and in the range 300Hz-2000Hz. Sub-bands are formed by using the logarithmic spacing. The positions of these filters are equally spaced along the Mel frequency, which is related to the common linear frequency f by following formula: Mel (f) = 1125* ln (1+f/700) (3) Mel frequency is proportional to the logarithm of linear frequency and which is close to the human perceptual system. 2.5 Sub Fingerprint Generation:
Dubbed the Valley Intruder or Night Stalker, Ricardo Leyva Munoz Ramirez famously known as Richard Ramirez, struck fear through the bones of many during his serial killing spree in the mid-eighties. Ramirez killed at least fourteen people in his spree while raping and torturing many more. His criminal beginnings turned to violence in June of 1984 with his first known slaying of 79-year-old Jennie Vincow. Vincow was sexually assaulted, stabbed and ultimately killed in her home. Authorities had not yet caught Ramirez after this brutal homicide, therefore he was free to continue his spree on countless more helpless victims.
People in the military are fingerprinted, and it is also required for many other occupations and organizations. When it comes time to match a fingerprint with an individual, it is quite easy due to the wide library of fingerprints the FBI maintains. This library contains the fingerprints of “more than 10%” of the U.S. population. For smaller cases, law enforcement are given access to this library directly from a police station ("Forensic Science" [Gale] 18).
Fingerprinting is method based on the uniqueness of the skin pattern - that is, each person has a completely individual pattern of papillary lines. These patterns do not change throughout life and have the property of recovering from damage to the skin in its previous form. On the one hand, this method almost completely eliminates the mistake, and on the other hand it is very cheap and easy to use (in contrast the method of identification of a person by DNA). Fingerprinting allows: 1) to identify the person who left the prints, according to the general and particular features of the papillary pattern displayed on them; 2) to exclude individual from among those who have touched the object; 3) to narrow the group of individuals suspected of the particular crime (for instance, provided that the imprint shows traces of a scar, a burn, a wart or some other distinctive feature).
The authentication of Biometrics (i.e. the real authentication) which is used for identification and controlling the access which can be applied in the computer science. It is can be used in groups to identify the individuals under the surveillance. Biometric identifiers are used to labels the characteristics which can be measurable, the distinctive, and to describe the individuals. Biometric identifiers are being often categorized as behavioral versus physiological characteristics. Physiological are related to define the characteristics and the structure of the body.
Today, bilingual education used in many countries for a variety of social and educational purposes. It is become actual problem of this century. Because, the world is changing and according to the requirements of time, the human mind adjusts to new discoveries, to new tops. Large-scale changes in all spheres of human activity: the globalization of the economy and politics, the information explosion, the rapid development of communication defined new requirements for the quality of education. First of all, a general global trend towards integration in the sphere of education determines the trend towards integration of subject knowledge.
Biometric face recognition technology has received significant attention in the past several years to use human face as a key to security. Both law enforcement and non-law enforcement are its application. Face recognition system comprises of two Categories: verification and identification. Face Verification is Done in 1:1 match ratio. It is utilized to looks at a face pictures against a Template face pictures, whose identity being claimed.
It is very important to follow the trends of the consumers and give them tastes that all groups of consumers would want to buy. The biometric seemed a little more aimed just towards drawing in new customers and not about all the customers because the loyal customers already know and appreciate the