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|Title:||Dual classifier system for handprinted alphanumeric character recognition||Authors:||Chim, Y.-C.
|Keywords:||Dual classifier systems
Handprinted character recognition
Radial basis functions
|Issue Date:||1998||Citation:||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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