Performance Evaluation Of Biometric Verification Systems

3.5.4 Performance Evaluation The performance of biometric verification systems is typically described based on terms; the false accept rate (FAR) and a corresponding false reject rate (FRR). A false acceptance occurs when the system allows an forger’s sign is accepted. A false reject ratio represents a valid user is rejected from gaining access to the system. These two errors are directly correlated, where a change in one of the rates will inversely affect the other. A common alternative to describe the performance of system is to calculate the equal error rate (EER). EER corresponds to the point where the false accept and false reject rates are equal. In order to visually comment the performance of a biometric system, receiver operating characteristic (ROC) curves are drawn. Biometric systems generate matching scores that represent how similar (or dissimilar) the input is compared with the stored template. This score is compared with a threshold to make the decision of reject ing or accepting the user. The threshold value can be changed in order to obtain various FAR and FRR combinations. 3.6 Preference of Offline Signature Verification 3.6.1 Offline (Dynamic): The signatures captured by data acquisition technique (Matlab Tool), includes the use of similar device like pressure-sensitive tablets. The webcam that extract dynamic features of a signature in addition to its shape (static), it can be used in real time applications like credit card transactions, protection ofShow MoreRelatedUsing Correlation Method For Match Two Digital Images863 Words   |  4 Pagesconnected components which often leads to wrong ear localization as there may exist a cluster of the largest size of non-ear edges. 3. The performance obtained in the proposed technique is found to be robust and stable on a larger dataset. 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