A generalized regression neural network for logo recognition

4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, KES 2000 - Proceedings

Volumn 2, Issue , 2000, Pages 475-478

  Zyga, Kathleen ^a   Price, Richard ^a   Williams, Brenton ^a  

^a DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; DOCUMENT ANALYSIS SYSTEM; GENERALIZED REGRESSION; LOGO RECOGNITION; NETWORK INTERPOLATIONS; NOVEL METHODS; OVERALL ACCURACIES; REGRESSION NEURAL NETWORKS; SCALE AND ROTATION; TWO-STAGE METHODS;

NEURAL NETWORKS;

INTERPOLATION; OBJECT RECOGNITION;

LOGO RECOGNITION; REGRESSION NEURAL NETWORKS;

EID: 0033657509     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KES.2000.884092     Document Type: Conference Paper

References (4)

1. R. Caprari, "Logo Recognition by Literal Binary Pattern Matching", Defence Science and Technology Organization (1998)
2. D. Doermann, E. Rivlin, I. Weiss, "Logo Recognition", Center for Automated Research, University of Maryland, CAR-TR-688 (1993)
3. F. Cesarini, E. Francesconi, M. Gori, et.al., "A Neural-Based Architecture for Spot-Noisy Logo Recognition", Proc. 4th Int. Conf. Document Analysis and Recognition, Vol. 1, pp. 175-179 (1997)
4. J. Neter, W. Wasserman, M. Kutner, Applied Linear Regression Models, ©Richard D. Erwin, Inc. (1989)