Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62065
Title: Dual classifier system for handprinted alphanumeric character recognition
Authors: Chim, Y.-C.
Kassim, A.A. 
Ibrahim, Y.
Keywords: Dual classifier systems
Handprinted character recognition
OCR
Radial basis functions
Issue Date: 1998
Source: Chim, Y.-C.,Kassim, A.A.,Ibrahim, Y. (1998). Dual classifier system for handprinted alphanumeric character recognition. Pattern Analysis and Applications 1 (3) : 155-162. ScholarBank@NUS Repository.
Abstract: This paper presents a dual classifier handprinted character recognition system that is implemented using Radial Basis Function (RBF) networks. Each classifier in the system extracts a different set of features from the input character and makes its own independent classification decision. The features used are the diagonal and partitioned radial projections, and the four-directional edge maps of the image. The system then combines these decisions before giving a final classification output. Several different methods of designing the combiner are examined. The proposed system is tested on a database of handprinted alphanumeric characters, and the results are found to be very promising. © 1998 Springer-Verlag London Limited.
Source Title: Pattern Analysis and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/62065
ISSN: 14337541
Appears in Collections:Staff Publications

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