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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
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.
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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