[1] H. Pourghassem, “Page Layout Analysis of the Document Image based on Region Classification in a Hierarchical Decision Structure”, Journal of Electronics and Power Engineering, Vol. 2, pp. 37-44, Spring, (2009)
[2] M. Goria, M. Magginia, S. Marinaib, J.Q. Shengc, G. Sodab, “Edge-backpropagation for noisy logo recognition”, Pattern Recognition, Vol. 36, pp. 103-110, (2003)
[3] D. Doermann, E. Rivlin, and I. Weiss, “Applying algebraic and differential invariants for logo recognition”, Machine Vision and Application, Vol. 9, No. 2, pp.73-86, (1996)
[4] I. S. Hsieh, K. C. Fan, “Multiple Classifiers for Color Flag and Trademark Image Retrieval”, IEEE Transactions on Image Processing, Vol. 10, No. 6, pp. 938-950, (2001)
[5] J. Neumann, H. Samet, and A. Soffer, “Integration of local and global shape analysis for logo classification”, Pattern Recognition Letters, Vol. 23, No. 12, pp. 1449-1457, (2002)
[6] P. Suda, C. Bridoux, B. Kammerer, and G. Maderlechner,“Logo and word matching using a general approach to signal registration”, In Proc. Int. Conf. Document Analysis and Recognition, pp. 61-65, (1997)
[7] K. Zyga, J. Schroeder, and R. Price. “Logo recognition using retinal coding”. In Proc. 38th Asilomar Conf. Signals, Systems and Computers, Vol. 2, pp. 1549–1553, (2004)
[8] E. Francesconi, P. Frasconi, M. Gori, S. Marinai, J. Q. Sheng, G. Soda, A. Sperduti, “Logo Recognition by Recursive Neural Networks”, Graphics Recognition Algorithms and Systems, Vol. 1389, pp. 104-117, (1998)
[9] S. Seiden, M. Dillencourt, S. Irani, R. Borrey, T. Murphy, “Logo detection in document images”, Proc. of the Int. Conf. on Imaging Science, Systems, and Technology, Las Vegas, Nevada, pp. 446–449, (1997)
[10] T. Pham, “Unconstrained logo detection in document images”, Pattern Recognition, Vol. 36, No. 12, pp. 3023-3025, (2003)
[11] Jingying Chen, Maylor K. Leung ,Yong sheng Gao, “Noisy logo recognition using line segment Hausdorff distance”, Pattern recognition, Vol. 36, pp. 943-955, (2003)
[12] G. Nagy, S. Seth, and M. Viswanathan, “A prototype document image analysis system for technical journals”, Computer, Vol. 7, pp. 10-22, (1992)
[13] G. Zhu, D. Doermann, “Automatic Document Logo Detection”, 9th Int. Conf. on Document Analysis and Recognition, Vol. 2, pp. 864-868, (2007)
[14] Y.S. Kim, W.Y. Kim, “Content-based trademark retrieval system using a visually salient feature”, Image and Vision Computing, Vol. 16, pp. 931-939, (1998)
[15] P. Y. Yin, C. C. Yeh, “Content-based retrieval from trademark databases”, Pattern Recognition Letters, Vol. 23, pp. 113-126, (2002)
[16] M. H. Hung, C. H. Hsieh, C. M. Kuo, “Similarity retrieval of shape images based on database classification”, J. Vis. Communication and Image Representation, Vol. 17, pp. 970-985, (2006)
[17] W. Y. Kim, Y. S. Kim, “A new region-based shape descriptor”, ISO/IEC MPEG99/M5472, TR15-01, Maui, Hawaii, (1999)
[18] R. M. Haralick, K. Shanmugan, I. Dinstein, “Textural features for image classification”, IEEE Trans on Sys Man and Cybern, Vol. 3, No. 6, pp. 610-621, (1973)
[19] W.Q. Yan, J. Wang, M.S. Kankanhalli, “Automatic video logo detection and removal”, Multimedia Systems, Vol. 10, No. 5, pp. 379-391, (2005)
[20] H. Wang, Y. Chen, “Logo Detection in Document Images Based on Boundary Extension of Feature Rectangles”, 10th Conf. of Document Analysis and Recognition, pp. 1335-1339, (2009)
[21] K. Gao, Sh. Lin, Y. Zhang, Sh. Tang; D. Zhang, “Logo detection based on spatial-spectral saliency and partial spatial context”, IEEE Int. Conf. on Multimedia and Expo., pp. 322-329, (2009)
[22] Z. Ahmed, H. Fella, “Logos extraction on picture documents using shape and color density”, Int. IEEE Conf. on Industrial Electronics, pp. 2492-2496, (2008)
[23] N. Otsu, “A Threshold Selection Method from Gray-Level Histograms”, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 9, No. 1, pp. 62-66, (1979)