Saliency-Based Robust Correlation for Real-Time Face Registration and Verification
K. Jonsson, Jiřı́ Matas, Josef Kittler, S. Haberl · 1998
We propose a novel person verification system for real-time face identification. The main features of the system include accurate registration of face images using a robust form of correlation, a framework for global registration of a face database using a minimum spanning tree algorithm and a method for selecting a subset of features optimal for discrimination between clients and impostors. The results indicate that the image registration is of high accuracy and the feature selection is successfully improving on the verification performance. 1 Introduction Verification of person identity based on biometric information is important for many security applications. Examples include access control to buildings, surveillance and intrusion detection. Furthermore, there are many emerging fields that would benefit from developments in person verification technology such as advanced human-computer interfaces and tele-services including tele-shopping and tele-banking. Comparing verific...