Paper Info
Title
An Online EHW Pattern Recognition System Applied to Face Image Recognition
Abstract
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.
Year
DOI
Venue
2007
10.1007/978-3-540-71805-5_30
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Keywords
Field
DocType
high level module,evolvable hardware,system applied,high-speed pattern recognition,ehw architecture,complex face image recognition,online evolution,face image recognition,incremental evolution,previous approach,online ehw pattern recognition,pattern recognition,image recognition
Computer vision,Facial recognition system,Architecture,Incremental evolution,Three-dimensional face recognition,Pattern recognition,Computer science,Evolvable hardware,Artificial intelligence,Pattern recognition system
Conference
Volume
ISSN
Citations 
4448
0302-9743
14
PageRank 
References 
Authors
0.82
13
3
Name
Order
Citations
PageRank
Kyrre Glette134441.17
Jim Torresen287696.23
Moritoshi Yasunaga317833.03