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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References
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley & Sons, Chichester (2001)
Vaswani, N., Chellappa, R.: Classification probability analysis of principal component null space analysis. In: International Conference of Pattern Recognition (ICPR) (2004)
Xuan, G., Shi, Y.Q., Chai, P., Zhu, X., Yao, Q., Huang, C., Fu, D.: A novel pattern classification scheme: Classwise non-principal component analysis (CNPCA). In: International Conference of Pattern Recognition (ICPR), Hong Kong, China, August 20 - 24, 2006 (2006)
The MNIST Database of handwritten digits: http://yann.lecun.com/exdb/mnist/
Provos, N.: Defending against statistical steganalysis. In: 10th USENIX Security Symposium, Washington DC, USA (2001)
Westfeld, A.: F5 a steganographic algorithm: high capacity despite better steganalysis. In: 4th International Workshop on Information Hiding, Pittsburgh, PA, USA (2001)
Sallee, P.: Model-based methods for steganography and steganalysis. International Journal of Image and Graphics 5(1), 167–190 (2005)
Fridrich, J.: Feature-based steganalysis for JPEG images and its implications for future design of steganographic schemes. In: Fridrich, J. (ed.) IH 2004. LNCS, vol. 3200, pp. 67–81. Springer, Heidelberg (2004)
Shi, Y.Q., Chen, C., Chen, W.: A Markov Process Based Approach to Effective Attacking JPEG Steganography. In: Information Hiding Workshop, Old Town Alexandria, VA, USA (2006)
Shi, Y.Q., Sun, H.: Image and video compression for multimedia engineering: fundamentals, algorithms and standards. CRC press, Boca Raton, USA (1999)
Leon-Garcia, A.: Probability and random processes for electrical engineering, 2nd edn. Addison-Wesley Publishing Company, Reading (1994)
http://linuxbrit.co.uk/rbot/wiki/Ideas , http://www.informs-cs.org/wsc00papers/064.PDF
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Xuan, G., Zhu, X., Shi, Y.Q., Chai, P., Cui, X., Li, J. (2007). A Novel Bayesian Classifier with Smaller Eigenvalues Reset by Threshold Based on Given Database. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_34
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DOI: https://doi.org/10.1007/978-3-540-74260-9_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74258-6
Online ISBN: 978-3-540-74260-9
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