Variogram-based feature extraction for neural network recognition of logos

This paper presents a new approach for extracting spatial features of images based on the theory of regionalized variables. These features can be effectively used for automatic recognition of logo images using neural networks. Experimental results on a public-domain logo database show the effectiveness of the proposed approach.

[1]  Anil K. Jain,et al.  Shape-Based Retrieval: A Case Study With Trademark Image Databases , 1998, Pattern Recognit..

[2]  Mehmet Celenk,et al.  Higher-order spectra (HOS) invariants for shape recognition , 2001, Pattern Recognit..

[3]  Ehud Rivlin,et al.  Logo recognition using geometric invariants , 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

[4]  JEFFREY WOOD,et al.  Invariant pattern recognition: A review , 1996, Pattern Recognit..

[5]  Heng-Da Cheng,et al.  Vlsi For Moment Computation And Its Application To Breast Cancer Detection , 1998, Pattern Recognit..

[6]  Chiou-Shann Fuh,et al.  Hierarchical color image region segmentation for content-based image retrieval system , 2000, IEEE Trans. Image Process..

[7]  Fionn Murtagh,et al.  Image Processing and Data Analysis - The Multiscale Approach , 1998 .

[8]  G. Ramstein,et al.  Analysis of the structure of radiometric remotely-sensed images , 1989 .

[9]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Shih-Fu Chang,et al.  Image Retrieval: Current Techniques, Promising Directions, and Open Issues , 1999, J. Vis. Commun. Image Represent..

[11]  David Michel,et al.  Geostatistical Ore Reserve Estimation , 1977 .

[12]  Lee Hyoung Ku,et al.  Intelligent Image Retrieval Using Neural Network , 2001 .

[13]  B. Boashash,et al.  Pattern recognition using invariants defined from higher order spectra: 2-D image inputs , 1997, IEEE Trans. Image Process..

[14]  Michael Edward Hohn,et al.  Geostatistics and Petroleum Geology , 1988 .

[15]  A. Murat Tekalp,et al.  Shape similarity matching for query-by-example , 1998, Pattern Recognit..

[16]  Roland T. Chin,et al.  On Image Analysis by the Methods of Moments , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  E. Mizutani,et al.  Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.

[18]  Alireza Khotanzad,et al.  Invariant Image Recognition by Zernike Moments , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Shu-Yuan Chen,et al.  Deformed trademark retrieval based on 2D pseudo-hidden Markov model , 2001, Pattern Recognit..

[20]  Hong Yan,et al.  Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition , 1996, Advances in Fuzzy Systems - Applications and Theory.

[21]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[22]  R. Mohan Srivastava,et al.  Robust Measures of Spatial Continuity , 1989 .

[23]  Gian Antonio Mian,et al.  Trademark shapes description by string-matching techniques , 1994, Pattern Recognit..

[24]  Basil G. Mertzios,et al.  Shape recognition with a neural classifier based on a fast polygon approximation technique , 1994, Pattern Recognit..

[25]  R. Mohan Srivastava,et al.  Spatial continuity measures for probabilistic and deterministic geostatistics , 1988 .

[26]  Raimondo Schettini,et al.  Content-based similarity retrieval of trademarks using relevance feedback , 2001, Pattern Recognit..

[27]  Shu-Yuan Chen,et al.  Trademark shape recognition using closed contours , 1997, Pattern Recognit. Lett..

[28]  E. Powers,et al.  Digital Bispectral Analysis and Its Applications to Nonlinear Wave Interactions , 1979, IEEE Transactions on Plasma Science.

[29]  Yuan Yan Tang,et al.  New method for feature extraction based on fractal behavior , 2002, Pattern Recognit..

[30]  Michael Edward Hohn,et al.  An Introduction to Applied Geostatistics: by Edward H. Isaaks and R. Mohan Srivastava, 1989, Oxford University Press, New York, 561 p., ISBN 0-19-505012-6, ISBN 0-19-505013-4 (paperback), $55.00 cloth, $35.00 paper (US) , 1991 .

[31]  Sven Loncaric,et al.  A survey of shape analysis techniques , 1998, Pattern Recognit..

[32]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..