A Fast Logo Recognition Algorithm in Noisy Document Images
作者： Sina Hassanzadeh , Hossein Pourghassem
关键词:
摘要: Logo recognition is one of the applied aspects graphic domain. In most document images, some diverse conditions such as noise existence, occlusion, and different scale/orientation may affect logo process. this paper, a novel approach based on spatial structural features images proposed to overcome those problems. After normalization step which eliminates sensitivity process scale/orientation, feature extracted horizontal vertical histograms image. Finally, KNN classifier used recognize images. Our algorithm evaluated standard dataset Maryland University. The experimental results show robustness in recognition.
sci-hub.se 参考文章(13)
P. Suda, C. Bridoux, B. Kammerer, G. Maderlechner, Logo and word matching using a general approach to signal registration international conference on document analysis and recognition. ,vol. 1, pp. 61- 65 ,(1997) , 10.1109/ICDAR.1997.619814
D. Doermann, E. Rivlin, I. Weiss, Applying algebraic and differential invariants for logo recognition machine vision applications. ,vol. 9, pp. 73- 86 ,(1996) , 10.1007/S001380050030
M. Gori, M. Maggini, S. Marinai, J.Q. Sheng, G. Soda, Edge-backpropagation for noisy logo recognition Pattern Recognition. ,vol. 36, pp. 103- 110 ,(2003) , 10.1016/S0031-3203(02)00062-6
Peng-Yeng Yin, Cheng-Chung Yeh, Content-based retrieval from trademark databases Pattern Recognition Letters. ,vol. 23, pp. 113- 126 ,(2002) , 10.1016/S0167-8655(01)00091-5
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) , 10.1016/S0262-8856(98)00060-2
Hongye Wang, Document Logo Detection and Recognition Using Bayesian Model international conference on pattern recognition. pp. 1961- 1964 ,(2010) , 10.1109/ICPR.2010.483
D.S. Doermann, E. Rivlin, I. Weiss, Logo recognition using geometric invariants international conference on document analysis and recognition. pp. 894- 897 ,(1993) , 10.1109/ICDAR.1993.395593
F. Cesarini, E. Francesconi, M. Gori, S. Marinai, J.Q. Sheng, G. Soda, A neural-based architecture for spot-noisy logo recognition international conference on document analysis and recognition. ,vol. 1, pp. 175- 179 ,(1997) , 10.1109/ICDAR.1997.619836
Guangyu Zhu, David Doermann, Logo Matching for Document Image Retrieval international conference on document analysis and recognition. pp. 606- 610 ,(2009) , 10.1109/ICDAR.2009.60
Jingying Chen, Maylor K. Leung, Yongsheng Gao, Noisy logo recognition using line segment Hausdorff distance Pattern Recognition. ,vol. 36, pp. 943- 955 ,(2003) , 10.1016/S0031-3203(02)00128-0