Computerised Auto-Scoring System Based Upon Feature Extraction and Neural Network Technologies

Authors:
D. J. Hou;Q. Song;Y. C. Soh
Affiliations:
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798/;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798/ E-mail: eqsong@ntu.edu.sg;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798/
Venue:
Journal of Intelligent and Robotic Systems
Year:
2000

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Abstract

This paper presents an application of pattern recognition for the shooting target paper image. This is a two-stage approach. First, essential features of local images are properly defined and extracted from the target paper image. Then the Fuzzy C-Means clustering is carried out for determining the initial parameters and structure of the RBF classifier, which is further enhanced by the hybrid leaning algorithm. Experimental results show that the system achieves satisfactory performance both in terms of error rates of classification and learning efficiency.