An Online EHW Pattern Recognition System Applied to Face Image Recognition

An evolvable hardware (EHW) architecture for high-speed pattern recognition has been proposed. For a complex face image recognition task, the system demonstrates (in simulation) an accuracy of 96.25% which is better than previously proposed EHW architectures. In contrast to previous approaches, this architecture is designed for online evolution. Incremental evolution and high level modules have been utilized in order to make the evolution feasible.

• Type: Conference
• Year: 2007
• Where: EVOW
• Authors: Kyrre Glette, Jim Torresen, Moritoshi Yasunaga
• Keywords: Artificial Intelligence, Evolvable Hardware, EVOW 2007, Image Recognition Task, Incremental Evolution