A Study of Biometric Approach Using Fingerprint Recognition
Ravi Subban, Dattatreya P. Mankame · Lecture Notes on Software Engineering · 2013
Fingerprint (FP) serves to identify that the person authenticating is who he/she claims to be. FP identification is popular biometric technique due to easiness in acquiring, availability of plenty sources (i.e. ten fingers) for collecting data and their established use. This paper summarizes the research work carried out in FP matching techniques, recognition methods and their performance analysis. 0.001 to 0.01% of FAR (False Acceptance Rate). The pre-requisite to match the FP is classification. The classification is treated as course level matching. The FP can be classified as whorl, right loop, arch, tented arch. In order to ensure the performance of FP identification, enhancement algorithms are needed to improve clarity of input fingerprint images.