Non-Invertible Online Signature Biometric Template Protection via Shuffling and Trigonometry Transformation

Abstract

This paper describes a novel approach to a cancelable template protection scheme that secures online handwritten signature samples in the reference database of a biometric verification system. We propose a renewable-noninvertible transformation process named Bio-Trigono comprising two consecutive steps. First, a shuffling scheme is applied to a signature sample to attain the renewability property for template protection. This is followed by the deployment of a cosine function for which its periodic characteristic is exploited to achieve a much desired non-invertible property for additional security. The overall template protection scheme was tested rigorously on signature samples of a SIGMA database through an online signature verification system. Its verification utilized the Principal Component Analysis (PCA) for features' extraction and the Artificial Neural Network (ANN) for user reference modeling and classification processes. Results demonstrated an effective cancelable template protection scheme whereby the best averaged error rates were 10.3, 10.5 and 14.1% for untransformed first and second transformed signature templates, respectively.

Security Vulnerabilities Against Fingerprint Biometric System

“…The advantage of BioConvolving scheme is that it is not feasible for the adversary to retrieve the original template even if he succeeds in stealing more than one transformed template. However, the primary drawback of the BioConvolving cancelable transformation system was the length of its transformed template, which does not have the same length as the original one [99].…”

Off-Line Arabic (Indian) Numbers Recognition Using Expert System

“…Normally, in the verification or identification comparison, there are two possible error measures: False Accept Rate (FAR), which results from the forged template that accepted by the computer system falsely during testing. and False Rejection Rate (FRR), which results from the genuine template that the system recognizes as the query template wrongly [29,30]. Finally, the total accuracy of the system is calculated by subtracting the average error rate from 100% as in (18): (18) In this research, FAR error does not exist, as there are no forge templates in this experiment.…”