Biometrics is an alternative solution to the old means of identity verification, such as access cards. However, monomodal biometric systems suffer from multiple limitations, noise introduced by sensor and non-universality. Multi-biometrics allows us overcome these problems thus obtain better performance. Multimodal biometrics, using deep learning, has recently gained interest over single modali...

__________ Many intelligent systems must respond to sensory data or critical environmental conditions in fixed, predictable time. Rule-based systems, including those based on the efficient Rete matching algorithm, cannot guarantee this result. Improvement in execution-time efficiency is not all that is needed here; it is important to ensure constant, O(1) time limits for portions of the matchin...

Elastic Bunch Graph Matching is one of the well known methods proposed for face recognition. In this work, we propose several extensions to Elastic Bunch Graph Matching and its recent variant Landmark Model Matching. We used data from the FERET database for experimentations and to compare the proposed methods. We apply Particle Swarm Optimization to improve the face graph matching procedure in ...

Business process model matching is concerned with the detection of similarities in business process models. To support the progress of process model matching techniques, efficient evaluation strategies are required. State-of-the-art evaluation techniques provide a grading of the evaluated matching techniques. However, they only offer limited information about strength and weaknesses of the indi...