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Kokubunji, Tokyo, Japan
Oct. 26, 2004 to Oct. 29, 2004
ISBN: 0-7695-2187-8
pp: 413-418
S. Chindaro , University of Kent
K. Sirlantzis , University of Kent
M. C. Fairhurst , University of Kent
S. Hoque , University of Kent
ABSTRACT
The success gained by applying bit-plane decomposition methods to handwriting recognition have been demonstrated in our previous work [1,2]. In this paper we address the relationship between the diversity and the improvements obtained by applying multiple combinations of various layers. These layers are obtained by applying a method based on an n-tuple based classification system, namely, the Random Decomposition Technique proposed in [1]. We investigate 5 combination methods and 9 diversity measures using data extracted from the NIST[16] database. Results presented in this paper support the use of the bit-plane decomposition approach as a diversification method. Strong correlation was found between both the accuracy and the improvements and the diversity measures in the majority of the combination methods investigated.
INDEX TERMS
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CITATION
S. Chindaro, K. Sirlantzis, M. C. Fairhurst, S. Hoque, "Diversity-Performance Relationship in a Handwriting Recognition System Based on Bit-Plane Decomposition", IWFHR, 2004, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition 2004, pp. 413-418, doi:10.1109/IWFHR.2004.35
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