The automatic update of biometric templates is modeled by representing stored data as ants, grouped into two colonies. One colony is populated by the ants ...
The automatic update of biometric templates is modeled by representing stored data as ants, grouped into two colonies. One colony is populated by the ants ...
The automatic update of biometric templates is modeled by representing stored data as ants, grouped into two colonies. One colony is populated by the ants ...
A novel template update algorithm based on the semi-supervised learning algorithm Aggregation Pheromone Density Based Semi-Supervised Classification (APSSC) ...
Bibliographic details on Modeling biometric template update with Ant Colony Optimization.
People also ask
What is an example of ant colony optimization in real life?
When to use ant colony optimization?
How do you solve ant colony optimization?
What are the best parameters for ant colony optimization?
Ant colony optimization (ACO) searches for an optimal path in a graph, based on the behavior of ants seeking a path between their colony and a source of ...
Oct 22, 2024 · Besides, the template selection methods making use of Shannon entropy [17], ant colony optimization [18], and graph min-cut algorithm [19] have ...
In this paper we propose a multibiometric system to enhance the performance and minimize the error rate using Ant colony optimization (ACO) based on score level ...
Performance Improvement of Multibiometric Authentication System Using Score Level Fusion with Ant Colony Optimization · Computer Science. Wireless Communications ...
