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
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;
Conference_Titel :
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location :
Istanbul
Print_ISBN :
1-4244-1067-3
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2007.4290259