A Novel Bayesian Classifier With Smaller Eigenvalues Reset By Threshold Based On Given Database
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition(2007)
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.
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Key words
improved Bayesian classifier,threshold,eigenvalues,handwritten digit recognition,steganalysis
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