Local features are gaining popularity due to their robustness to occlusion and other variations such as minor deformation. However, using local features for recognition of biometric traits, which are generally highly similar, can produce large numbers of false matches. To increase recognition performance, we propose to eliminate some incorrect matches using a simple form geometric consistency, and some associated similarity measures. The performance of the approach is evaluated on different datasets and compared with some
Syed M. S. Islam, Rowan Davies