Author : P Ashwini 1
Date of Publication :7th March 2016
Abstract: Personal authentication by multiple biometric is the main purpose to identify moderate performance because the information carried is discriminatory by Two-dimensional (2-D) hand-geometry features. So it investigates a new approach to achieve performance improvement by simultaneously acquiring and combining three-dimensional and 2-D features from the human hand. Two new representations that effectively characterize the local finger surface features are extracted from the acquired range images and are matched using the proposed matching metrics. In addition, the characterization of 3-D palm surface using Surface Code is proposed for matching a pair of 3-D palms. The proposed 3-D hand-geometry features have significant discriminatory information to reliably authenticate individuals. By consolidating 3-D and 2-D hand-geometry features results in significantly improved performance that cannot be achieved with the traditional 2-D hand-geometry features alone.
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