Fingerprint Recognition System Analysis

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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

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