IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: component-based versus global approaches
Computer Vision and Image Understanding - Special issue on Face recognition
Face, Ear and Fingerprint: Designing Multibiometric Architectures
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Improving fusion with margin-derived confidence in biometric authentication tasks
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Occluded face recognition by means of the IFS
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
An adaptive multimodal biometric management algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Multimodal systems can solve a number of problems found in unimodal approaches. We experimented going further along this line, by dividing the face into distinct regions (components) and processing each of them within a single subsystem. Such subsystems are then embedded in a more complex multicomponent architecture. In this way, typical tools of multimodal systems, such as reliability margins or fusion schemes, can be usefully extended to the single face biometry. An additional innovation element in this work is the definition of a global system auto-verification and auto-tuning policy able to produce a significant accuracy enhancement. The paper explores three integration architectures with different subsystem interconnection degree, demonstrating that a tight component interaction increases system accuracy and allows identifying unstable subsystems.