A Self-tuning People Identification System from Split Face Components
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
A multiexpert collaborative biometric system for people identification
Journal of Visual Languages and Computing
A Self-updating Multiexpert System for Face Identification
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Hi-index | 0.00 |
The number of biometries as well as the number of publications about biometrics have noticeably grown in the last ten years. However, it was not possible yet to identify a bodily or behavioral feature able by itself to satisfy the acceptability and reliability constraints imposed by real applications. In this work we analyze the combination of the three different biometries face, ear and fingerprint using both a new multimodal schema, namely the N-Cross Testing Protocol, and a fast hierarchical architecture. Experimental results in the final part of our work provide a positive feedback.