DocumentCode
3268925
Title
A Study on Hybrid Approaches in Image Recognition System
Author
Duan, Bobo ; Yang, Chunyang ; Liu, Wei ; Wen, Xuezhi ; Yuan, Huai
Author_Institution
Northeastern Univ., Shenayng
fYear
2007
fDate
13-15 June 2007
Firstpage
1072
Lastpage
1076
Abstract
Hybrid approaches have been applied widely in image recognition system to adapt the increasing requirement of real-time and high accuracy and there are a lot of successful hybrid image recognition algorithms. To use hybrid approaches more effectively, some basic research about it is very necessary. This paper analyzes current typical hybrid samples, then presents basic hybrid image recognition patterns and evaluates their performance about real-time, accuracy, robustness, expandability and flexibility. At last a developing hybrid image recognition system would be introduced as a sample.
Keywords
image recognition; robust control; accuracy; expandability; flexibility; hybrid approaches; image recognition system; robustness; Automotive engineering; Classification tree analysis; Face recognition; Feedforward neural networks; Handwriting recognition; Image recognition; Neural networks; Pattern recognition; Real time systems; Robustness; Accuracy; Expandability; Flexibility; Hybrid; Image Recognition System; Real-Time; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location
Istanbul
ISSN
1931-0587
Print_ISBN
1-4244-1067-3
Electronic_ISBN
1931-0587
Type
conf
DOI
10.1109/IVS.2007.4290259
Filename
4290259
Link To Document