Diversity-Performance Relationship in a Handwriting Recognition System Based on Bit-Plane Decomposition

S. Chindaro, K. Sirlantzis, M.C. Fairhurst, S. Hoque
Ninth International Workshop on Frontiers in Handwriting Recognition  
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
more » ... ods 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.
doi:10.1109/iwfhr.2004.35 dblp:conf/icfhr/ChindaroSFH04 fatcat:wfrjcf6t3rfinnfbk4eyvsx23a