A Novel bayesian classifier with smaller eigenvalues reset by threshold based on given database

Authors:
Guorong Xuan;Xiuming Zhu;Yun Q. Shi;Peiqi Chai;Xia Cui;Jue Li
Affiliations:
Dept. of Computer Science, Tongji University, Shanghai, China;Dept. of Computer Science, Tongji University, Shanghai, China;Dept. of ECE, New Jersey Institute of Technology, Newark, New Jersey;Dept. of Computer Science, Tongji University, Shanghai, China;Dept. of Computer Science, Tongji University, Shanghai, China;Dept. of Computer Science, Tongji University, Shanghai, China
Venue:
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Year:
2007

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Abstract

A novel Bayesian classifier with smaller eigenvalues reset by threshold based on database is proposed in this paper. The threshold is used to substitute eigenvalues of scatter matrices which are smaller than the threshold to minimize the classification error rate with a given database, thus improving the performance of Bayesian classifier. Several experiments have shown its effectiveness. The error rates of both handwritten number recognition with MNIST database and Bengali handwritten digit recognition are small by using the proposed method. The steganalyszing JPEG images using this proposed classifier performs well.